Topic in Computer Vision

Video understanding

85 labs at 26 universities work on video understanding (part of Computer Vision). Most at SJTU, Peking and Tsinghua. 65 published in 2026.

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I want to research video understanding in anywhere.

85 labs at 26 universities work on video understanding. Most at 15, 11, 10. 65 of them published in 2026, mostly at CVPR, ECCV and ICCV. Earliest deadline: , Dec 1.

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85 labs

SGNTUCollege of Computing and Data Science

Chen Change LoyProfessor

Works on computer vision and deep learning, focusing on image and video restoration and enhancement, creative content generation and representation learning.

Video understanding
Computational imaging & photography
Generative & foundation models

20264RC: 4D Reconstruction via Conditional Querying Anytime and AnywhereICML
2026AITTI: Learning Adaptive Inclusive Token for Text-to-Image GenerationIJCV

117 T1 · 130 papers · 12 members · 36 alumni

CNTsinghuaDepartment of AutomationFeb 28

Xiangyang JiProfessor

Works on machine learning and visual information acquisition and processing, including video coding and computational imaging.

Computational imaging & photography
Video understanding

2026Adaptive Nonlinear Compression for Large Foundation ModelsICLR
2026Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics AssessmentAAAI

114 T1 · 159 papers · Group size not listed

CNSJTUSchool of Computer ScienceMay 31

Yulun ZhangTenured Track Associate Professor

Works on image and video restoration, including super-resolution.

Video understanding
Computational imaging & photography

2026Accelerating Rectified Flow Models via Trajectory-Aware CachingNeurIPS
2026AdaSVD: Adaptive Singular Value Decomposition for Large Language ModelsCVPR

106 T1 · 117 papers · 15 members · 1 alumnus

CNTsinghuaTsinghua Shenzhen International Graduate SchoolFeb 28

Chun YuanProfessor

Works on computer vision, multimedia, and machine learning, including video object segmentation, detector distillation, and compatible representation learning.

Recognition, detection & segmentation
Video understanding
Generative & foundation models

2026Enhancing Geometric Perception in VLMs via Translator-Guided Reinforcement LearningICLR
2026FlashVSR: Towards Real-time Diffusion-Based Streaming Video Super ResolutionCVPR

82 T1 · 129 papers · Group size not listed

CNPekingWangxuan Institute of Computer TechnologyJan 15

Yuxin PengProfessor

Researches cross-media analysis and reasoning, image and video understanding and retrieval, and fine-grained recognition.

Recognition, detection & segmentation
Video understanding
Reasoning & agents

2026AesFormer: Transform Everyday Photos into Beautiful MemoriesICML
2026Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive EvaluationICLR

82 T1 · 128 papers · 14 members · 43 alumni

USUCSDElectrical and Computer EngineeringDec 15

Xiaolong WangAssociate Professor

Studies self-supervised visual learning, video understanding and embodied AI for robot manipulation.

Embodied & active vision
Video understanding
Generative & foundation models

20263D Aware Region Prompted Vision Language ModelICLR
2026Cross-embodied Co-design for Dexterous HandsICLR

78 T1 · 82 papers · 9 members · 73 alumni

SGNTUCollege of Computing and Data Science

Shijian LuAssociate Professor

Works on computer vision and image and video analytics, including visual intelligence with deep learning.

Video understanding
Data management & big data

20263D-Aware VLMs with Implicit and Explicit GeometriesECCV
2026Boosting Reasoning in Large Multimodal Models via Activation ReplayCVPR

77 T1 · 100 papers · Group size not listed

GBOxfordDepartment of Engineering ScienceJan 7

Andrea VedaldiProfessor of Computer Vision and Machine Learning

Develops computer vision methods that understand image and video semantics and 3D geometry with little or no manual supervision.

3D vision & neural rendering
Video understanding

2026CoWTracker: Tracking by Warping instead of CorrelationCVPR
2026Free-Range Gaussians: Non-Grid-Aligned Generative 3D Gaussian ReconstructionECCV

74 T1 · 86 papers · Group size not listed

DETUMDepartment of Computer Science

Matthias NießnerProfessor

Researches 3D digitization at the intersection of graphics, vision and AI, including 3D reconstruction from RGB-D video and photorealistic digital humans.

3D vision & neural rendering
Video understanding
Generative 3D & visual content

2026Animating the Uncaptured: Humanoid Mesh Animation with Video Diffusion ModelsICLR
2026Diff3R: Feed-forward 3D Gaussian Splatting with Uncertainty-aware Differentiable OptimizationNeurIPS

72 T1 · 77 papers · 18 members

CNTsinghuaTsinghua Shenzhen International Graduate SchoolFeb 28

Yansong TangAssociate Professor

Works on computer vision, including video understanding, following a PhD in computer vision.

Video understanding

2026AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented AgentICLR
2026Decomposed Structural Pattern Banks for Efficient Screen Content Image Super-ResolutionTIP

71 T1 · 89 papers · Group size not listed

CNTsinghuaDepartment of AutomationFeb 28

Yebin LiuProfessor

Works on 3D vision, computational photography, digital human reconstruction and synthesis, and markerless motion capture.

3D vision & neural rendering
Video understanding
Generative 3D & visual content

20264DEquine: Disentangling Motion and Appearance for 4D Equine Reconstruction from Monocular VideoCVPR
2026AniMer+: Unified Pose and Shape Estimation Across Mammalia and Aves via Family-Aware TransformerTPAMI

68 T1 · 88 papers · Group size not listed

CNSJTUSchool of Computer ScienceMay 31

Xiaohong LiuTenured Track Associate Professor

Works on computer vision and multimedia processing, including image and video generation and quality assessment.

Video understanding
Image & video generation

2026114. [AAAI] Scaling-up Perceptual Video Quality AssessmentAAAI
2026115. [AAAI] HiFi-Mesh: High-Fidelity Efficient 3D Mesh Generation via Compact Autoregressive DependenceAAAI

67 T1 · 128 papers · Group size not listed

CNSJTUSchool of Integrated Circuits (Information and Electronic Engineering)May 31

Xiongkuo Min教授

Works on multimedia signal processing, including image and video quality assessment, enhancement and visual attention prediction.

Video understanding
Speech enhancement & signal processing
Signal processing & information theory

2026Adapter Shield: A Unified Framework with Built-In Authentication for Preventing Unauthorized Zero-Shot Image-to-Image GenerationCVPR
2026AesGI-Bench: Benchmarking and Evaluating the Aesthetic Quality of AI-Generated Images via Large Multimodal ModelsNeurIPS

57 T1 · 150 papers · 17 members · 6 alumni

HKCUHKDepartment of Information EngineeringDec 1

Tianfan XueVice Chancellor Assistant Professor

Works on learning-based computational photography, image and video processing and 3D reconstruction.

3D vision & neural rendering
Video understanding

2026ARVFI: Bi-directional Autoregressive Diffusion for Large Complex Motion InterpolationCVPR
2026Color Pass-Through via Camera-Display CouplingECCV

51 T1 · 62 papers · 17 members · 7 alumni

USCMURobotics InstituteDec 9

Kris M. KitaniAssociate Research Professor

Studies computer vision for understanding human activity, including egocentric vision and human motion forecasting.

Video understanding
Embodied & active vision

2026BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement LearningICLR
2026DuoMo: Dual Motion Diffusion for World-Space Human ReconstructionCVPR

50 T1 · 59 papers · 3 members · 8 alumni

USUIUCSiebel School of Computing and Data ScienceDec 1

Yu-Xiong WangAssistant Professor

Studies computer vision and machine learning, including open-world perception, few-shot learning and 3D and video generation.

3D vision & neural rendering
Video understanding
Robot perception & SLAM

20253DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D EditingICLR
2025Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual PerceptionICLR

50 T1 · 56 papers · 13 members

USUMDComputer Science

Abhinav ShrivastavaAssociate Professor

Researches computer vision and machine learning, including video understanding, self-supervised learning and neural representations.

Video understanding
Generative & foundation models

2026Efficient and High-Fidelity Omni Modality RetrievalCVPR
2026Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion ModelICLR

48 T1 · 70 papers · 10 members · 31 alumni

USUT AustinComputer ScienceDec 15

Kristen GraumanProfessor, Professorship in Computer Sciences #4

Leads the UT Computer Vision Group, working on visual recognition, video analysis, first-person (egocentric) vision and embodied multimodal perception.

Recognition, detection & segmentation
Video understanding
Multimodal & grounded language

2026Audio-Visual Camera Pose Estimation with Passive Scene Sounds and In-the-Wild VideoECCV
2026Don't Let the Video Speak: Audio-Contrastive Preference Optimization for Audio-visual Language ModelsECCV

45 T1 · 51 papers · 7 members · 22 alumni

CNTsinghuaTsinghua Shenzhen International Graduate SchoolFeb 28

Haoqian WangProfessor

Works on computational photography and AI, including automatic structuring of lecture videos.

Video understanding
Computational imaging & photography

2026DiRIC: Diffusion Prior Refinement for Efficient Low-Rate Image CompressionTPAMI
2026DreamSwapV: Mask-guided Subject Swapping for Any Customized Video EditingICLR

44 T1 · 80 papers · Group size not listed

USUIUCSiebel School of Computing and Data ScienceDec 1

James M. RehgProfessor

Studies computer vision and machine learning, including egocentric video understanding and behavioral imaging for health.

Video understanding
Computational imaging & photography
Data management & big data

2026Decoding Children's Gait BehaviorECCV
2026DiffVax: Optimization-Free Image Immunization Against Diffusion-Based EditingICLR

44 T1 · 63 papers · 16 members · 12 alumni

Where they areClick a university to narrow the list

Where they areClick a university to narrow the list

Other topics in Computer Vision

I want to research video understanding in anywhere.

Chen Change LoyProfessor

Xiangyang JiProfessor

Yulun ZhangTenured Track Associate Professor

Chun YuanProfessor

Yuxin PengProfessor

Xiaolong WangAssociate Professor

Shijian LuAssociate Professor

Andrea VedaldiProfessor of Computer Vision and Machine Learning

Matthias NießnerProfessor

Yansong TangAssociate Professor

Yebin LiuProfessor

Xiaohong LiuTenured Track Associate Professor

Xiongkuo Min教授

Tianfan XueVice Chancellor Assistant Professor

Kris M. KitaniAssociate Research Professor

Yu-Xiong WangAssistant Professor

Abhinav ShrivastavaAssociate Professor

Kristen GraumanProfessor, Professorship in Computer Sciences #4

Haoqian WangProfessor

James M. RehgProfessor

Where they areClick a university to narrow the list

Other topics in Computer Vision

I want to research video understanding in anywhere.

Chen Change LoyProfessor

Xiangyang JiProfessor

Yulun ZhangTenured Track Associate Professor

Chun YuanProfessor

Yuxin PengProfessor

Xiaolong WangAssociate Professor

Shijian LuAssociate Professor

Andrea VedaldiProfessor of Computer Vision and Machine Learning

Matthias NießnerProfessor

Yansong TangAssociate Professor

Yebin LiuProfessor

Xiaohong LiuTenured Track Associate Professor

Xiongkuo Min教授

Tianfan XueVice Chancellor Assistant Professor

Kris M. KitaniAssociate Research Professor

Yu-Xiong WangAssistant Professor

Abhinav ShrivastavaAssociate Professor

Kristen GraumanProfessor, Professorship in Computer Sciences #4

Haoqian WangProfessor

James M. RehgProfessor