Andrew Zisserman
Royal Society Research Professor
Leads Visual Geometry Group research on visual recognition, multiple-view geometry and learning from video.
Andrew Zisserman's lab at Oxford works on 3D vision & neural rendering and recognition, detection & segmentation. 79 papers since 2023, 57 at top venues, mostly CVPR and ICCV. Applications close .
At a glance
- papers, 2023–2026
- 21/ year
- at T1 venues
- 72%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 13 papers2026 · T1 13 · collecting
- 16 papers2025 · T1 11
- 30 papers2024 · T1 21
- 20 papers2023 · T1 12
T1 venuesOtherVenues: CVPR, ICCV, NeurIPS, ACCV, ECCV
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation10 papers
- visual8 papers
- 3D vision & neural rendering4 papers
- geometry1 paper
- visual recognition0 papers
Paper list
From DBLP.
202613 papers
- ECCV (T1)Adapting MLLMs for Nuanced Video Retrieval (opens in a new tab)
- MICCAI (T1)Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores (opens in a new tab)
- CVPR (T1)CountGD++: Generalized Prompting for Open-World Counting (opens in a new tab)
- CVPR (T1)Efficiently Reconstructing Dynamic Scenes One D4RT at a Time (opens in a new tab)
- AAAI (T1)Open-World Object Counting in Videos (opens in a new tab)
- ECCV (T1)Recognizing Co-speech Gestures in-the-Wild (opens in a new tab)
- CVPR (T1)Recurrent Video Masked Autoencoders (opens in a new tab)
- CVPR (T1)Seeing without Pixels: Perception from Camera Trajectories (opens in a new tab)
- ACL (T1)Segment, Embed, and Align: A Universal Recipe for Aligning Subtitles to Signing (opens in a new tab)
- TPAMI (T1)The Sound of Water: Inferring Physical Properties From Pouring Liquids (opens in a new tab)
- CVPR (T1)Unique Lives, Shared World: Learning from Single-Life Videos (opens in a new tab)
- ECCV (T1)Video Generation Models Are General-Purpose Vision Learners (opens in a new tab)
202516 papers
- ShapeMI@MICCAIA Simple Modality-Agnostic Representation for Scoliosis Phenotyping (opens in a new tab)
- ACM MMCharacter-Centric Understanding of Animated Movies (opens in a new tab)
- NeurIPS (T1)Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening (opens in a new tab)
- CBMIELIP: Enhanced Visual-Language Foundation Models for Image Retrieval (opens in a new tab)
- TPAMI (T1)EPIC-SOUNDS: A Large-Scale Dataset of Actions That Sound (opens in a new tab)
- ICCV (T1)From Panels to Prose: Generating Literary Narratives from Comics (opens in a new tab)
- ICCV (T1)LayerLock: Non-Collapsing Representation Learning with Progressive Freezing (opens in a new tab)
- CVPR (T1)Learning from Streaming Video with Orthogonal Gradients (opens in a new tab)
- CVPR (T1)Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues (opens in a new tab)
- CBMIPersonalizing Retrieval Using Joint Embeddings; or "the Return of Fluffy" (opens in a new tab)
- ICASSP (T1)Scaling Multilingual Visual Speech Recognition (opens in a new tab)
- ICCV (T1)SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications (opens in a new tab)
202430 papers
- MICCAI (T1)3D Spine Shape Estimation from Single 2D DXA (opens in a new tab)
- ACCV3D-Aware Instance Segmentation and Tracking in Egocentric Videos (opens in a new tab)
- NeurIPS (T1)A General Protocol to Probe Large Vision Models for 3D Physical Understanding (opens in a new tab)
- CVPR (T1)A Simple Recipe for Contrastively Pre-Training Video-First Encoders Beyond 16 Frames (opens in a new tab)
- ICASSP (T1)A Sound Approach: Using Large Language Models to Generate Audio Descriptions for Egocentric Text-Audio Retrieval (opens in a new tab)
- CVPR (T1)Amodal Ground Truth and Completion in the Wild (opens in a new tab)
- ECCV (T1)Appearance-Based Refinement for Object-Centric Motion Segmentation (opens in a new tab)
- CVPR (T1)AutoAD III: The Prequel - Back to the Pixels (opens in a new tab)
- ACCVAutoAD-Zero: A Training-Free Framework for Zero-Shot Audio Description (opens in a new tab)
- MICCAI (T1)Automated Spinal MRI Labelling from Reports Using a Large Language Model (opens in a new tab)
- ACCVBootsTAP: Bootstrapped Training for Tracking-Any-Point (opens in a new tab)
- ACCVCharacter-Aware Audio-Visual Subtitling in Context (opens in a new tab)
202320 papers
- ShapeMI@MICCAI3D Shape Analysis of Scoliosis (opens in a new tab)
- CVPR (T1)A Light Touch Approach to Teaching Transformers Multi-view Geometry (opens in a new tab)
- ICCV (T1)AutoAD II: The Sequel - Who, When, and What in Movie Audio Description (opens in a new tab)
- CVPR (T1)AutoAD: Movie Description in Context (opens in a new tab)
- NeurIPS (T1)Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion (opens in a new tab)
- MIUADeep Facial Phenotyping with Mixup Augmentation (opens in a new tab)
- BMVCGestSync: Determining who is speaking without a talking head (opens in a new tab)
- ICCV (T1)Helping Hands: An Object-Aware Ego-Centric Video Recognition Model (opens in a new tab)
- ICML (T1)Multi-Modal Classifiers for Open-Vocabulary Object Detection (opens in a new tab)
- NeurIPS (T1)No Representation Rules Them All in Category Discovery (opens in a new tab)
- BMVCOpen-world Text-specifed Object Counting (opens in a new tab)
- NeurIPS (T1)Perception Test: A Diagnostic Benchmark for Multimodal Video Models (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
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- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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