6 papers
VPTracker: Global Vision-Language Tracking via Visual Prompt
Jingchao Wang, Kaiwen Zhou, Zhijian Wu +3
Vision-Language Tracking aims to continuously localize objects described by a visual template and a language description. Existing methods, however, are typically limited to local…
A Simple and Better Baseline for Visual Grounding
Jingchao Wang, Wenlong Zhang, Dingjiang Huang +2
Visual grounding aims to predict the locations of target objects specified by textual descriptions. For this task with linguistic and visual modalities, there is a latest research…
Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decoder
Jingchao Wang, Zhijian Wu, Dingjiang Huang +2
Reference Expression Segmentation (RES) aims to segment image regions specified by referring expressions and has become popular with the rise of multimodal large models (MLLMs). Wh…
Learning Spectral Diffusion Prior for Hyperspectral Image Reconstruction
Mingyang Yu, Zhijian Wu, Dingjiang Huang
Hyperspectral image (HSI) reconstruction aims to recover 3D HSI from its degraded 2D measurements. Recently great progress has been made in deep learning-based methods, however, th…
Progressive Language-guided Visual Learning for Multi-Task Visual Grounding
Jingchao Wang, Hong Wang, Wenlong Zhang +3
Multi-task visual grounding (MTVG) includes two sub-tasks, i.e., Referring Expression Comprehension (REC) and Referring Expression Segmentation (RES). The existing representative a…
Imagination-Limited Q-Learning for Offline Reinforcement Learning
Wenhui Liu, Zhijian Wu, Jingchao Wang +2
Offline reinforcement learning seeks to derive improved policies entirely from historical data but often struggles with over-optimistic value estimates for out-of-distribution (OOD…