activity
20242026
most citedLLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models

2 citations · 2 across the 8 of their papers we have counts for

collaborators

16 papers

cs.CV2026

Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving

Jiangxin Sun, Feng Xue, Teng Long +4

With advances in imitation learning (IL) and large-scale driving datasets, end-to-end autonomous driving (E2E-AD) has made great progress recently. Currently, IL-based methods have…

cs.CV2026

Refer-Agent: A Collaborative Multi-Agent System with Reasoning and Reflection for Referring Video Object Segmentation

Haichao Jiang, Tianming Liang, Wei-Shi Zheng +1

Referring Video Object Segmentation (RVOS) aims to segment objects in videos based on textual queries. Current methods mainly rely on large-scale supervised fine-tuning (SFT) of Mu…

cs.CV2026

Seg-ReSearch: Segmentation with Interleaved Reasoning and External Search

Tianming Liang, Qirui Du, Jian-Fang Hu +3

Segmentation based on language has been a popular topic in computer vision. While recent advances in multimodal large language models (MLLMs) have endowed segmentation systems with…

cs.CV2025

Image-to-Video Transfer Learning based on Image-Language Foundation Models: A Comprehensive Survey

Jinxuan Li, Chaolei Tan, Haoxuan Chen +4

Image-Language Foundation Models (ILFMs) have demonstrated remarkable success in vision-language understanding, providing transferable multimodal representations that generalize ac…

cs.CV2025

CoopDiff: Anticipating 3D Human-object Interactions via Contact-consistent Decoupled Diffusion

Xiaotong Lin, Tianming Liang, Jian-Fang Hu +5

3D human-object interaction (HOI) anticipation aims to predict the future motion of humans and their manipulated objects, conditioned on the historical context. Generally, the arti…

cs.CV2025

Temporal Continual Learning with Prior Compensation for Human Motion Prediction

Jianwei Tang, Jiangxin Sun, Xiaotong Lin +3

Human Motion Prediction (HMP) aims to predict future poses at different moments according to past motion sequences. Previous approaches have treated the prediction of various momen…