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Jian Ding

20 papers · 2014–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (11)
🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (43) 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (106) πŸ’Ž Century Club (20) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (9)

Conferences

CVPR (8) ICCV (3) AAAI (2) COLT (2) ECCV (2) EMNLP (1) NIPS (1) WACV (1)

Papers

iMotion-LLM: Instruction-Conditioned Trajectory Generation WACV 2026 Diffusion-Based Imaginative Coordination for Bimanual Manipulation ICCV 2025 InfiniBench: A Benchmark for Large Multi-Modal Models in Long-Form Movies and TV Shows EMNLP 2025 Kestrel: 3D Multimodal LLM for Part-Aware Grounded Description ICCV 2025 VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding NIPS 2024 Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer AAAI 2024 FreePoint: Unsupervised Point Cloud Instance Segmentation CVPR 2024 Uni3DL: A Unified Model for 3D Vision-Language Understanding ECCV 2024 Goldfish: Vision-Language Understanding of Arbitrarily Long Videos ECCV 2024 Few-Shot Object Detection via Variational Feature Aggregation AAAI 2023 HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation CVPR 2023 Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection CVPR 2023 Expanding Low-Density Latent Regions for Open-Set Object Detection CVPR 2022 Decoupling Zero-Shot Semantic Segmentation CVPR 2022 DetCo: Unsupervised Contrastive Learning for Object Detection ICCV 2021 ReDet: A Rotation-Equivariant Detector for Aerial Object Detection CVPR 2021 Consistent recovery threshold of hidden nearest neighbor graphs COLT 2020 Learning RoI Transformer for Oriented Object Detection in Aerial Images CVPR 2019 DOTA: A Large-Scale Dataset for Object Detection in Aerial Images CVPR 2018 Online Learning with Composite Loss Functions COLT 2014