4 citations · 4 across the 4 of their papers we have counts for
9 papers
Concise Geometric Description as a Bridge: Unleashing the Potential of LLM for Plane Geometry Problem Solving
Jingyun Wang, Dian Li, Xiaohan Wang +3
Plane Geometry Problem Solving (PGPS) is a multimodal reasoning task that aims to solve a plane geometric problem based on a geometric diagram and problem textual descriptions. Alt…
Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation
Jingyun Wang, Cilin Yan, Guoliang Kang
Recent works modify CLIP to perform open-vocabulary semantic segmentation in a training-free manner (TF-OVSS). In vanilla CLIP, patch-wise image representations mainly encode homog…
ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
Jingyun Wang, Guoliang Kang
Recent works utilize CLIP to perform the challenging unsupervised semantic segmentation task where only images without annotations are available. However, we observe that when adop…
Motion-Guided Semantic Alignment with Negative Prompts for Zero-Shot Video Action Recognition
Yiming Wang, Frederick W. B. Li, Jingyun Wang
Zero-shot action recognition is challenging due to the semantic gap between seen and unseen classes. We present a novel framework that enhances CLIP with disentangled embeddings an…
CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models
Jingyao Li, Jingyun Wang, Molin Tan +6
Cross-Video Reasoning (CVR) presents a significant challenge in video understanding, which requires simultaneous understanding of multiple videos to aggregate and compare informati…
LTCA: Long-range Temporal Context Attention for Referring Video Object Segmentation
Cilin Yan, Jingyun Wang, Guoliang Kang
Referring Video Segmentation (RVOS) aims to segment objects in videos given linguistic expressions. The key to solving RVOS is to extract long-range temporal context information fr…