activity
20162023
most citedCross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning

160 citations · 331 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2023★ 3 cited

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs

Ziyi Tang, Ruilin Wang, Weixing Chen +6

Despite the progress of foundation models, knowledge-based reasoning remains a persistent challenge due to their limited capacity for knowledge recall and inference. Existing metho…

cs.CV2023★ 48 cited

Cross-Modal Causal Intervention for Medical Report Generation

Weixing Chen, Yang Liu, Ce Wang +4

Radiology Report Generation (RRG) is essential for computer-aided diagnosis and medication guidance, which can relieve the heavy burden of radiologists by automatically generating…

cs.CV2020★ 99 cited

Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition

Yang Liu, Keze Wang, Guanbin Li +1

Existing vision-based action recognition is susceptible to occlusion and appearance variations, while wearable sensors can alleviate these challenges by capturing human motion with…

cs.LG2019★ 15 cited

Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction

Lingbo Liu, Jiajie Zhen, Guanbin Li +4

As a crucial component in intelligent transportation systems, traffic flow prediction has recently attracted widespread research interest in the field of artificial intelligence (A…

cs.CV2019★ 6 cited

Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark

Guangrun Wang, Guangcong Wang, Xujie Zhang +3

Person re-identification (Re-ID) benefits greatly from the accurate annotations of existing datasets (e.g., CUHK03 [1] and Market-1501 [2]), which are quite expensive because each…

cs.CV2016★ 160 cited

Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning

Liang Lin, Guangrun Wang, Wangmeng Zuo +2

Cross-domain visual data matching is one of the fundamental problems in many real-world vision tasks, e.g., matching persons across ID photos and surveillance videos. Conventional…