Yuxin Peng
Professor
Researches cross-media analysis and reasoning, image and video understanding and retrieval, and fine-grained recognition.
Yuxin Peng's lab at Peking works on recognition, detection & segmentation, video understanding and reasoning & agents. 128 papers since 2023, 82 at top venues, mostly CVPR and ACM MM. 10 PhD students and 4 master's students. 43 alumni, most often to Google DeepMind. Applications close .
At a glance
- papers, 2023–2026
- 33/ year
- at T1 venues
- 64%
- PhD students
- 10
- MS students
- 4
- alumni listed
- 43
Papers by yearfrom the lab homepage, 2023–2026
- 40 papers2026 · T1 29 · collecting
- 30 papers2025 · T1 21
- 38 papers2024 · T1 23
- 20 papers2023 · T1 9
T1 venuesOtherVenues: CVPR, ACM MM, TPAMI, AAAI, ICML
Research focuspaper titles that use each topic's words
- Video understanding24 papers
- Recognition, detection & segmentation18 papers
- Reasoning & agents4 papers
- cross-media0 papers
- wangxuan0 papers
Paper list
From the lab homepage.
202640 papers
- CJEA Survey on Fine-Grained Multimodal Large Language Models
- ICML (T1)AesFormer: Transform Everyday Photos into Beautiful Memories
- ICLR (T1)Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation
- TPAMI (T1)Bi-C²R: Bidirectional Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
- NeurIPS (T1)Biomedical Acquisition-induced Style Shifts as Mixture Shifts: Style-aware Mixture-of-Experts Multimodal Prompt Learning
- ICML (T1)BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception
- TMMCausalFSFG: Rethinking Few-Shot Fine-Grained Visual Categorization from Causal Perspective
- AAAI (T1)CKDA: Cross-modality Knowledge Disentanglement and Alignment for Visible-Infrared Lifelong Person Re-identification
- TPAMI (T1)Confidence-aware Pseudo-label Self-Correction for Weakly Supervised Visual Grounding
- JCSTCross-Modal Retrieval from Coarse-Grained to Fine-Grained Perspectives: A Survey
- Elsevier DisplaysCtp2Fic: From Coarse-grained Token Pruning to Fine-grained Token Clustering for LVLM Inference Acceleration
- ACM MMDecoupled Low-Rank Prompt Subspace Learning for VLMs Adaptation in Biomedical Domain
202530 papers
- The ACM International Conference on Multimedia (ACM MM) Dataset TrackAdvancing 3D Scene Understanding with MV-ScanQA Multi-View Reasoning Evaluation and TripAlign Pre-training Dataset
- ICLR (T1)Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models
- ICML (T1)Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing
- CVPR (T1)ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer
- AAAI (T1)DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification
- TPAMI (T1)Distribution-aware Knowledge Aligning and Prototyping for Non-exemplar Lifelong Person Re-Identification
- CVPR (T1)DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification
- CVPR (T1)DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding
- CVPR (T1)EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing
- ICCV (T1)Hierarchical Event Memory for Accurate and Low-latency Online Video Temporal Grounding
- TPAMI (T1)Human-centric Fine-grained Action Quality Assessment
- The ACM International Conference on Multimedia (ACM MM) Challenge TrackIdentity-Preserving Text-to-Video Generation via Training-Free Prompt, Image, and Guidance Enhancement
202438 papers
- IJCV (T1)Compositional Prompting for Anti-Forgetting in Domain Incremental Learning
- AAAI (T1)Comprehensive Visual Grounding for Video Description
- AAAI (T1)Continual Vision-Language Retrieval via Dynamic Knowledge Rectification
- PRCVCountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting
- AAAI (T1)DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation
- Information Processing & ManagementDecoupled domain-specific and domain-conditional representation learning for cross-domain recommendation
- CVPR (T1)Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification
- TIFSDMA: Dual Modality-Aware Alignment for Visible-Infrared Person Re-Identification
- TOMMEOGT: Video Anomaly Detection with Enhanced Object Information and Global Temporal Dependency
- IJCV (T1)Exemplar-Free Lifelong Person Re-identification via Prompt-Guided Adaptive Knowledge Consolidation
- ECCV (T1)Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection
- AAAI (T1)FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval
202320 papers
- TPAMI (T1)Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrieval
- VICAT: A Coarse-to-fine Attention Tree for Semantic Change Detection
- TCSVTDCR-ReID: Deep Component Reconstruction for Cloth-Changing Person Re-Identification
- ICIGDensityLayout: Density-conditioned Layout GAN for Visual-textual Presentation Designs
- TKDE (T1)Disentangled Graph Neural Networks for Session-based Recommendation
- ACM Multimedia ConferenceEfficiency-optimized Video Diffusion Models
- ICCV (T1)Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory
- ACM Multimedia ConferenceFine-Grained Visual Prompt Learning of Vision-Language Models for Image Recognition
- ACL (T1)Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization
- TOMMLFR-GAN: Local Feature Refinement based Generative Adversarial Network for Text-to-Image Generation
- ChinaMMLightweight Video Diffusion Model
- ICCV (T1)Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection
Where alumni went43 listed, 100% to industry
Industry 1Academia 0
Most often to
- Google DeepMind
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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