activity
20212023
most citedDoes Thermal Really Always Matter for RGB-T Salient Object Detection?

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 1 cited

Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series

Anpeng Wu, Haoxuan Li, Kun Kuang +2

Learning directed acyclic graphs (DAGs) to identify causal relations underlying observational data is crucial but also poses significant challenges. Recently, topology-based method…

cs.LG2023★ 1 cited

Red Teaming Deep Neural Networks with Feature Synthesis Tools

Stephen Casper, Yuxiao Li, Jiawei Li +4

Interpretable AI tools are often motivated by the goal of understanding model behavior in out-of-distribution (OOD) contexts. Despite the attention this area of study receives, the…

cs.CV2022★ 4 cited

Does Thermal Really Always Matter for RGB-T Salient Object Detection?

Runmin Cong, Kepu Zhang, Chen Zhang +4

In recent years, RGB-T salient object detection (SOD) has attracted continuous attention, which makes it possible to identify salient objects in environments such as low light by i…

cs.CV2022

InsCon:Instance Consistency Feature Representation via Self-Supervised Learning

Junwei Yang, Ke Zhang, Zhaolin Cui +3

Feature representation via self-supervised learning has reached remarkable success in image-level contrastive learning, which brings impressive performances on image classification…

cs.CV2021★ 2 cited

Structure Guided Lane Detection

Jinming Su, Chao Chen, Ke Zhang +3

Recently, lane detection has made great progress with the rapid development of deep neural networks and autonomous driving. However, there exist three mainly problems including cha…