Hakan Bilen
Reader
Researches computer vision and machine learning, including weakly supervised learning, representation learning and dense prediction.
Hakan Bilen's lab at Edinburgh works on generative & foundation models. 25 papers since 2023, 17 at top venues, mostly CVPR and NeurIPS. 8 alumni.
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 68%
- PhD students
- —
- MS students
- —
- alumni listed
- 8
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 4 · collecting
- 6 papers2025 · T1 4
- 4 papers2024 · T1 4
- 10 papers2023 · T1 5
T1 venuesOtherVenues: CVPR, NeurIPS, WACV, ECCV, EMNLP
Research focuspaper titles that use each topic's words
- Generative & foundation models3 papers
- supervised3 papers
- supervised learning1 paper
- weakly0 papers
- weakly supervised0 papers
Paper list
From the lab homepage.
20265 papers
- ECCV (T1)BAT3R: Bootstrapping Articulated 3D Reconstruction from 2D Image Collections
- ICML (T1)Beyond Pixel Histories: World Models with Persistent 3D State
- CVPRFMoonSeg3R: Monocular Online Zero-Shot Segment Anything in 3D with Reconstructive Foundation Priors
- EMNLP (T1)Think, Look, and Revise: Inconsistency-Aware Visual Self-Correction in MLLMs
- ECCV (T1)Training-free Discriminative Patch Mining for Robust Few-Shot Recognition with CLIP
20256 papers
- CVPR (T1)DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
- NeurIPS (T1)Interactive Anomaly Detection for Articulated Objects via Motion Anticipation
- NeurIPS (T1)Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
- CVPR (T1)Odd-One-Out: Anomaly Detection by Comparing with Neighbors
- WACVSpatially-Adaptive Hash Encodings For Neural Surface Reconstruction
- CVPRWVisually interpretable subtask reasoning for visual question answering
20244 papers
- NeurIPS (T1)Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis
- CVPR (T1)Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
- CVPR (T1)Looking 3D: Anomaly Detection with 2D-3D Alignment
- ICLR (T1)Multi-task Learning with 3D-Aware Regularization
202310 papers
- WACVAccelerating Self-Supervised Learning via Efficient Training Strategies
- WACVDataset condensation with distribution matching
- Neural Information Processing Systems (NeurIPS) Workshop on Symmetry and Geometry in Neural RepresentationsExplicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields
- —Investigating the role of linguistic knowledge in vision and language tasks
- CVPR (T1)Learning Action Changes by Measuring Verb-Adverb Textual Relationships
- CVPR (T1)RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
- EMNLP (T1)Semi-supervised multimodal coreference resolution in image narrations
- IJCV (T1)Universal Representations: A Unified Look at Multiple Task and Domain Learning
- —Unsupervised category-level viewpoint estimation
- ICCV (T1)Who are you referring to? Coreference resolution in image narrations
Where alumni went8 listed
Apply to EdinburghFall 2027
Not announced yet
Informatics PhD
- Round
- Rolling (funding consideration)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Not yet confirmed for this intake.
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Data
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- The lab homepage
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- Alumni
- Lab homepage
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