activity
20232026
most citedPhrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection

5 citations · 7 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

CIVA: Critic-Induced Value-Subspace Attacks on Visual World-Model Agents

Jiancheng Wang, Mingli Zhu, Tong Zhang +4

Visual world-model agents such as DreamerV3 act through a recurrent latent state rather than a single observation, which weakens frame-wise observation attacks and makes their pert…

cs.CV2026

Consistent Evidence, Robust Recognition: Faithful Attribution Regularization under Geometric Transformations

Xianghao Jiao, Ruoyu Chen, Wei Wang +6

Attribution methods are widely used to characterize the evidence underlying model predictions, yet their potential to improve model behavior remains underexplored. Attribution inco…

cs.CV2026

Domain Adaptive Object Detection via Dual-Stream Bilevel-Cycle Optimization

Yannan Chen, Wei Wang, Wenqiang Wang +5

Cycle self-training (CST) breaks the shared classifier assumption of the standard self-training framework, which is effective for unsupervised domain adaptation and exploits unlabe…

cs.CV2024★ 2 cited

Object Detectors in the Open Environment: Challenges, Solutions, and Outlook

Siyuan Liang, Wei Wang, Ruoyu Chen +5

With the emergence of foundation models, deep learning-based object detectors have shown practical usability in closed set scenarios. However, for real-world tasks, object detector…

cs.CV2024★ 5 cited

Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection

Hao Li, Wei Wang, Cong Wang +4

Single-domain generalized object detection aims to enhance a model's generalizability to multiple unseen target domains using only data from a single source domain during training.…

cs.CL2023

Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs

Yunxin Li, Zhenyu Liu, Baotian Hu +4

Recent advancements in multimodal large language models (MLLMs) have achieved significant multimodal generation capabilities, akin to GPT-4. These models predominantly map visual i…