C'e s t L a V I E
Visual Inference&Evaluation
Group Seminar
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Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics |
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SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images |
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RadGPT- Constructing 3D Image-Text Tumor Datasets |
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Boosting Image Quality Assessment Through Efficient Transformer Adaptation with Local Feature Enhancement |
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Dog-IQA: Standard-Guided Zero-Shot MLLM for Mix-Grained Image Quality Assessment |
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ALIGNING LARGE MULTIMODAL MODELS WITH FACTUALLY AUGMENTED RLHF |
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VideoSAGE: Video Summarization with Graph Representation Learning |
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EraseDraw: Learning to Insert Objects by Erasing Them from Images |
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Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare |
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VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging |
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CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model |
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Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge |
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Blind Image Quality Assessment for Pathological Microscopic Image Under Screen and Immersion Scenarios |
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Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification |
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Multimodal Action Quality Assessment |
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Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model |
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PointLLM: Empowering Large Language Models to Understand Point Clouds |
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A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment |
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Q-Ground: Image Quality Grounding with Large Multi-modality Models |
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MEDICAL SAM 2: SEGMENT MEDICAL IMAGES AS VIDEO VIA SEGMENT ANYTHING MODEL 2 |
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LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model |
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Your Diffusion Model is Secretly a Zero-Shot Classifier |
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ExpertAF: Expert Actionable Feedback from Video |
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PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction |
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CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification |
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Rich Human Feedback for Text-to-Image Generation |
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Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs |
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pix2gestalt: Amodal Segmentation by Synthesizing Wholes |
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Magic Mamba |
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Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction |
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U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation |
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LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation |
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Scaling Vision with Sparse Mixture of Experts |
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From Feline Classification to Skills Evaluation: A Multitask Learning Framework for Evaluating Micro Suturing Neurosurgical Skills |
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SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation |
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Understanding Zero-Shot Adversarial Robustness for Large-Scale Models |
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Comparison of No-Reference Image Quality Models via MAP Estimation in Diffusion Latents |
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Ferret: Refer and Ground Anything Anywhere at Any Granularity |
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Disruptive Autoencoders- Leveraging Low-level features for 3D Medical Image Pre-training |
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Keep Your Eye on the Best: Contrastive Regression Transformer for Skill Assessment in Robotic Surgery |
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Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild |
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DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model |
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Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning |
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Scalable Diffusion Models with Transformers |
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PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment |
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Zero-1-to-3: Zero-shot One Image to 3D Object |
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Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction |
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Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation |
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Objects do not disappear: Video object detection by single-frame object location anticipation |
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MedLSAM: Localize and Segment Anything Model for 3D CT Images |
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Test Time Adaptation for Blind Image Quality Assessment |
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CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning |
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UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction |
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Attention Discriminant Sampling for Point Clouds |
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Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization |
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Coarse-to-Fine Amodal Segmentation with Shape Prior |
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DDG-Net: Discriminability-Driven Graph Network forWeakly-supervised Temporal Action Localization |
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Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models |
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Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network |
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Deep Evidential Regression |
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MA-SAM- Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation |
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Segment and Track Anything |
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MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation |
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DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation |
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Blind image quality assessment based on progressive multi-task learning |
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Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks |
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RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model |
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E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles |
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SegGPT: Segmenting Everything In Context |
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Volumetric memory network for interactive medical image segmentation |
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Semi-Supervised Authentically Distorted Image Quality Assessment with Consistency-Preserving Dual-Branch Convolutional Neural Network |
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3D Cinemagraphy from a Single Image |
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Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection |
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Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop |
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Knowledge-Guided Blind Image Quality Assessment with Few Training Samples |
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PIDNet- A Real-time Semantic Segmentation Network Inspired by PID Controllers |
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Images Speak in Images: A Generalist Painter for In-Context Visual Learning |
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Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition |
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Image Quality Assessment using Semi-Supervised Representation Learning |
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Segment Anything |
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FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment |
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Unsupervised Pre-training for Temporal Action Localization Tasks |
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Towards Implicit Text-Guided 3D Shape Generation: Supplementary Material |
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HCSC: Hierarchical Contrastive Selective Coding |
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PolyFormer: Referring Image Segmentation as Sequential Polygon Generation |
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PATCHDCT: PATCH REFINEMENT FOR HIGH QUALITY INSTANCE SEGMENTATION |
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No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images |
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Towards certifying Linf robustness using neural networks with Linf-dist neurons |
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Instance Shadow Detection |
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Transductive Semi-Supervised Deep Learning using Min-Max Features |
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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation |
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Bridge-Prompt Towards Ordinal Action Understanding in Instructional |
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Hyperbolic Image Segmentation |
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Image Quality Assessment using Contrastive Learning |
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【写作技巧】Abstract和Introduction鉴赏 |
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Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation |
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Fast and Unsupervised Action Boundary Detection for Action Segmentation |
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Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks |
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Theme-Aware Semi-Supervised Image Aesthetic Quality Assessment |
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Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition |
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ObjectBox: From Centers to Boxes for Anchor-Free Object Detection |
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Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization |
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Shift-tolerant Perceptual Similarity Metric |
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Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment |
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Deep Evidential Regression |
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In Defense of Online Models for Video Instance Segmentation |
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The Dimpled Manifold Model of Adversarial Examples in Machine Learning |
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Modeling Localness for Self-Attention Networks |
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Single-View 3D Object Reconstruction from Shape Priors in Memory |
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Class Semantic-based Attention for Action Detection |
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Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness |
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Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification |
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MaD-DLS: Mean and Deviation of Deep and Local Similarity for Image Quality Assessment |
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E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation |
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Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation |
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A Simple Semi-Supervised Learning Framework for Object Detection |
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FreeSOLO: Learning to Segment Objects without Annotations |
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Deep Self-Dissimilarities as Powerful Visual Fingerprints |
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Temporal Action Detection with Multi-level Supervision |
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An Image Patch is a Wave: Quantum Inspired Vision MLP |
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Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation |
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Reducing Flipping Errors in Deep Neural Networks |
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Vision-Language Pre-Training with Triple Contrastive Learning |
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Instant Teaching: An End to End Semi Supervised Object Detection Framework |
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Learning Action Completeness from Points forWeakly-supervised Temporal Action Localization |
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Weakly Supervised Instance Segmentation using Class Peak Response |
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First-order Adversarial Vulnerability of Neural Networks and Input Dimension |
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Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment |
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Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion |
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End-to-End Video Instance Segmentation with Transformers |
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Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields |
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Unsupervised Domain Adaptation in Semantic Segmentation |
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Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization |
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Pixel Difference Networks for Efficient Edge Detection |
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Image Quality Assessment: Unifying Structure and Texture Similarity |
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Cubemap-Based Perception-Driven Blind Quality Assessment for 360-degree Images |
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Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation |
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A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation |
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Perceptual Adversarial Robustness: Defense Against Unseen Threat Models |
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GLoRIA A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition |
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Weakly-Supervised Semantic Segmentation via Sub-category Exploration |
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Learning to Resize Images for Computer Vision Tasks |
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Topology-Imbalance Learning for Semi-Supervised Node Classification |
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MUSIQ: Multi-scale Image Quality Transformer |
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Video Self-Stitching Graph Network for Temporal Action Localization |
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Self-Supervised 3D Mesh Reconstruction from Single Images |
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DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort |
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LOWKEY: Leveraging Adversarial Attacks to Protect Social Media Users From Facial Recognition |
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Blind Omnidirectional Image Quality Assessment Based on Structure and Natural Features |
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Pre-Trained Image Processing Transformer |
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Rich features for perceptual quality assessment of UGC videos |
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BoxInst: High-Performance Instance Segmentation with Box Annotations |
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Instance Similarity Learning for Unsupervised Feature Representation |
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Enriching Local and Global Contexts for Temporal Action Localization |
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Prototype Completion with Primitive Knowledge for Few-Shot Learning |
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Feature Importance-aware Transferable Adversarial Attacks |
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Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning |
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ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation |
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Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild |
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MDETR - Modulated Detection for End-to-End Multi-Modal Understanding |
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Temporal Query Networks for Fine-Grained Video Understanding |
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Recent work |
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Hierarchical Recurrent Deep Fusion Using Adaptive Clip Summarization for Sign Language Translation |
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Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation |
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Patch-VQ: ‘Patching Up’ the Video Quality Problem |
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Extreme Rotation Estimation using Dense Correlation Volumes |
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Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting |
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Point2Skeleton: Learning Skeletal Representations from Point Clouds |
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TDN: Temporal Difference Networks for Efficient Action Recognition |
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The Devil is in the Boundary Exploiting Boundary Representation for Basis-based Instance Segmentation |
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CO2: CONSISTENT CONTRAST FOR UNSUPERVISED VISUAL REPRESENTATION LEARNING |
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Emerging Properties in Self-Supervised Vision Transformers |
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Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers |
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进展汇报：小工具推荐 |
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Feature Selection for Zero-Shot Gesture Recognition |
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Detecting and Mapping Video Impairments |
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis |
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Hallucinated-IQA No-Reference Image Quality Assessment |
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Quantifying Visual Image Quality: A Bayesian View |
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Distilling Knowledge via Knowledge Review |
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Transferable Perturbations of Deep Feature Distributions |
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Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment |
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows |
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Learning Continuous Image Representation with Local Implicit Image Function |
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A survey on visual transformer |
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Depth and Amodal Segmentation |
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Unlearnable examples: making personal data exploitable |
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Learning Transferable Visual Models From Natural Language Supervision |
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Blind Image Quality Assessment with Active Inference |
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Conditional Convolutions for Instance Segmentation |
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Disentangled Non-Local Networks |
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric |
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RankIQA Learning From Rankings for No-Reference Image Quality Assessment |
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Towards Open World Object Detection |
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Peer Collaborative Learning for Online Knowledge Distillation |
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Weakly-Supervised Action Localization by Generative Attention Modeling |
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Modeling Multi-Label Action Dependencies for Temporal Action Localization |
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RESTRICTING THE FLOW: INFORMATION BOTTLENECKS FOR ATTRIBUTION |
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Unsupervised Multi-Modal Image Registration via Geometry Preserving |
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Continual Learning for Blind Image Quality Assessment |
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Stabilized Medical Image Attack |
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Recent Progress on Self-Supervised Representation Learning |
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Amodal Segmentation Based on Visible Region Segmentation and Shape Prior |
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The VC Dimension |
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Unsupervised Deep Homography A Fast and Robust Homography Estimation Model |
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Rethinking softmax cross entropy loss for adversarial robustness |
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Learning via Uniform Convergence |
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Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts |
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Temporal Pyramid Network for Action Recognition |
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PAC-Learning |
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Growing Neural Cellular Automata |
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RIRNet: Recurrent-In-Recurrent Network for Video Quality Assessment |
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An Unsupervised Information-Theoretic Perceptual Quality Metric |
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Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space |
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A Mathematical Theory of Evidence |
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Correlating Edge, Pose with Parsing |
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Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation |
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Adversarial Weight Perturbation Helps Robust Generalization |
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Memory-augmented Dense Predictive Coding for Video Representation Learning |
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Appearance-Preserving 3D Convolution for Video-based Person Re-identification |
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Synthesize then Compare - Detecting Failures and Anomalies for Semantic Segmentation |
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ArcFace: Additive Angular Margin Loss for Deep Face Recognition |
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Understanding the Role of Individual Units in a Deep Network |
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Object Instance Annotation with Deep Extreme Level Set Evolution |
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Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation |
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Self-Attention: From Image Recognition to Image Segmentation |
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Beyond Vision: A Multimodal Recurrent Attention Convolutional Neural Network for Unified Image Aesthetic Prediction Tasks |
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High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks |
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An Asymmetric Modeling for Action Assessment |
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ECCV 20 Segmentation Theme |
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Collaborative Video Object Segmentation by Foreground-Background Integration |
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End-to-End Object Detection with Transformers |
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A Unified Framework of Surrogate Loss by Refactoring and Interpolation |
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Adv-watermark_A Novel Watermark Perturbation for Adversarial Examples |
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[Survey] Meta-Learning |
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Dual Super-Resolution Learning for Semantic Segmentation |
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SRFlow: Learning the Super-Resolution Space with Normalizing Flow |
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Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution |
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Exploring Self-attention for Image Recognition |
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Efficient Semantic Video Segmentation with Per-frame Inference |
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Attacks Which Do Not Kill Training Make Adversarial Learning Stronger |
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FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding |
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Learning Instance Occlusion for Panoptic Segmentation |
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Bootstrap Your Own Latent A New Approach to Self-Supervised Learning |
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Understanding SSIM |
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Image Processing Using Multi-Code GAN Prior |
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RetinaTrack: Online Single Stage Joint Detection and Tracking |
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Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection |
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Second-Order Provable Defenses against Adversarial Attacks |
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Learning Fast and Robust Target Models for Video Object Segmentation |
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SpeedNet: Learning the Speediness in Videos |
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Intra- and Inter-Action Understanding via Temporal Action Parsing |
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Gradient Centralization: A New Optimization Technique for Deep Neural Networks |
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Visualizing the Invisible Occluded Vehicle Segmentation and Recovery |
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Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy |
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Multi-Modal Domain Adaptation for Fine-Grained Action Recognition |
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Destruction and Construction Learning for Fine-grained Image Recognition |
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Blurry Video Frame Interpolation |
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Spatially Transformed Adversarial ExamplesSpatially Transformed Adversarial Examples |
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SC4D: A Sparse 4D Convolutional Network for Skeleton-Based Action Recognition |
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Circle Loss: A Unified Perspective of Pair Similarity Optimization |
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MOPT: Multi-Object Panoptic Tracking |
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Deep Unfolding Network for Image Super-Resolution |
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Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation |
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Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations |
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Diagnosing Error in Object Detectors |
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BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition |
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Feedback Graph Convolutional Network for Skeleton-based Action Recognition |
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How Useful is Self-Supervised Pretraining for Visual Tasks |
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See the Sound, Hear the Pixels |
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PolarMask: Single Shot Instance Segmentation with Polar Representation |
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RANet: Ranking Attention Network for Fast Video Object Segmentation |
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PSENet: Psoriasis Severity Evaluation Network |
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GIQA: Generated Image Quality Assessment |
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Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation |
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From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality |
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Functional Adversarial Attacks |
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PF-Net- Point Fractal Network for 3D Point Cloud Completion |
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DynamoNet: Dynamic Action and Motion Network |
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Deep Snake for Real-Time Instance Segmentation |
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Spatial-Temporal Relation Networks for Multi-Object Tracking |
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Part-Level Graph Convolutional Network for Skeleton Based Action Recognition |
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Unsupervised Learning for Real-World Super-Resolution |
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Adversarial Feedback Loop |
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Attention Based Glaucoma Detection: A Large-scale Database and CNN Model |
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SlowFast Networks for Video Recognition |
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Libra R-CNN: Towards Balanced Learning for Object Detection |
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How Does Batch Normalization Help Optimization? |
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Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses |
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What’s important to boost performance in deep learning |
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Anchor Diffusion for Unsupervised Video Object Segmentation |
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Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images |
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Trust Region Based Adversarial Attack on Neural Networks |
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Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation |
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Tracking Without Bells and Whistles |
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DeepCO3 - Deep Instance Co-segmentation by Co-peak Search and Co-saliency Detection |
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Noise2Void - Learning Denoising from Single Noisy Images |
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Action Recognition from Single Timestamp Supervision in Untrimmed Videos |
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Momentum Contrast for Unsupervised Visual Representation Learning |
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Efficient Parameter-free Clustering Using First Neighbor Relations |
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DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision |
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Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation |
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Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields |
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Multi-person Articulated Tracking with Spatial and Temporal Embeddings |
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ComDefend_An Efficient Image Compression Model to Defend Adversarial Examples |
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Second-order Attention Network for Single Image Super-Resolution |
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Image Aesthetic Assessment Based on Pairwise Comparison – A Unified Approach to Score Regression, Binary Classification, and Personalization |
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Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation |
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A Style-Based Generator Architecture for Generative Adversarial Networks |
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SeGAN: Segmenting and Generating the Invisible |
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Action Assessment by Joint Relation Graphs |
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Learning Temporal Action Proposals With Fewer Labels |
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Quality Assessment of In-the-Wild Videos |
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RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution |
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Adaptive Pyramid Context Network for Semantic Segmentation |
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Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field |
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Weakly Supervised Energy-Based Learning for Action Segmentation |
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SparseFool_A_Few_Pixels_Make_a_Big_Difference |
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An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition |
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A General and Adaptive Robust Loss Function |
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Graph convolutional tracking |
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Visual Attention Consistency under Image Transforms for Multi-Label Image Classification |
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Timeception for Complex Action Recognition |
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Efficient Video Classification Using Fewer Frames |
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ScratchDet: Training Single-Shot Object Detectors from Scratch |
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Learning Loss for Active Learning |
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Do Better ImageNet Models Transfer Better? |
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Weakly Supervised Image Classification through Noise Regularization |
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“Double-DIP”: Unsupervised Image Decomposition via Coupled Deep-Image-Priors |
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Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration |
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Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search |
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Adversarial Attacks Beyond the Image Space |
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Collaborative Global-Local Networks for Memory-Efficient Segmentation |
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Accel-A Corrective Fusion Network for Efficient Semantic Segmentation on Video |
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Pose2Seg- Detection Free Human Instance Segmentation |
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UPSNet- A Unified Panoptic Segmentation Network |
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Laso: Label-Set Operations networks for multi-label few-shot learning |
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TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions |
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Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition |
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Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning |
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1. A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes 2. Co-occurrent Features in Semantic Segmentation |
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Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection |
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Learning Correspondence from the Cycle-consistency of Time |
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SiamRPN++ |
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Bag of Tricks for Image Classification with Convolutional Neural Networks |
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Making Convolutional Networks Shift-Invariant Again |
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Complement Objective Training |
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What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment |
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DAVANet: Stereo Deblurring with View Aggregation |
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Towards Robust Detection of Adversarial Examples |
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Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers |
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On the Use of Deep Learning for Blind Image Quality Assessment |
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Fast Online Object Tracking and Segmentation: A Unifying Approach |
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Learning Deep Compositional Grammatical Architectures for Visual Recognition |
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ExFuse: Enhancing Feature Fusion for Semantic Segmentation |
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The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos |
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SFNet: Learning Object-aware Semantic Correspondence |
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Data augmentation using learned transforms for one-shot medical image segmentation |
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A Comparative Study for Single Image Blind Deblurring |
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Graph CNNs with Motif and Variable Temporal Block for Skeleton-based Action Recognition |
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Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A convolutional Neural Aggregation Network |
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CCNet: Criss-Cross Attention for Semantic Segmentation |
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DenseASPP for Semantic Segmentation in Street Scenes |
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Eliminating Background-Bias for Robust Person Re-identification |
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Application-Driven No-Reference Quality |
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R-FCN: Object Detection via Region-based Fully Convolutional Networks |
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ActionVLAD: Learning spatio-temporal aggregation for action classification |
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MoNet: Deep Motion Exploitation for Video Object Segmentation |
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A Constrained Deep Neural Network for Ordinal Regression |
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DeepFool: a simple and accurate method to fool deep neural networks |
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Modeling Surgical Technical Skill Using Expert Assessment for Automated Computer Rating |
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Self-Ensembling Attention Networks- Addressing Domain Shift for Semantic Segmentation |
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IMAGENET-TRAINED CNNS ARE BIASED TOWARDS TEXTURE; INCREASING SHAPE BIAS IMPROVES ACCURACY AND ROBUSTNESS |
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Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles |
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Dual Attention Network for Scene Segmentation |
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A Benchmark for Automatic Visual Classification of Clinical Skin Disease Images |
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Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria |
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An Information-Theoretic Definition of Similarity |
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Generating Images with Perceptual Similarity Metrics based on Deep Networks |
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Spatio-Temporal Graph Routing for Skeleton-based Action Recognition |
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Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation |
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Towards Robust Interpretability with Self-explaining Neural Networks |
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Trajectory Convolution for Action Recognition |
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Videos as Space-Time Region Graphs |
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Recurrent Autoregressive Networks for Online Multi-Object Tracking |
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Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks |
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High Performance Visual Tracking with Siamese Region Proposal Network |
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric |
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Fast Video Object Segmentation by Reference-Guided Mask Propagation |
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What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets |
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A New Representation of Skeleton Sequences for 3D Action Recognition |
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition |
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Learning Deep Features for Discriminative Localization |
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Networks and the Best Approximation Property |
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Temporal Deformable Residual Networks for Action Segmentation in Videos |
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Bi-box Regression for Pedestrian Detection and Occlusion Estimation |
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Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks |
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Person Re-identification with Deep Similarity-Guided Graph Neural Network |
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Collaborative Deep Reinforcement Learning for Multi-Object Tracking |
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Video quality assessment accounting for temporal visual masking of local flicker |
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Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification |
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Generate To Adapt: Aligning Domains using Generative Adversarial Networks |
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Direction-aware Spatial Context Features for Shadow Detection and Removal |
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Online Multi-Object Tracking with Dual Matching Attention Networks |
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Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes |
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Eigen-Distortions of Hierarchical Representations |
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Gaussian Process |