9 citations · 14 across the 5 of their papers we have counts for
7 papers
DepthArb: Training-Free Depth-Arbitrated Generation for Occlusion-Robust Image Synthesis
Hongjin Niu, Jiahao Wang, Xirui Hu +4
Text-to-image models often struggle to synthesize correct occlusion relationships among multiple objects, especially in densely overlapping regions. Many training-free layout-guide…
From Macro to Micro: Boosting micro-expression recognition via pre-training on macro-expression videos
Hanting Li, Hongjing Niu, Feng Zhao
Micro-expression recognition (MER) has drawn increasing attention in recent years due to its potential applications in intelligent medical and lie detection. However, the shortage…
Frequency Decomposition to Tap the Potential of Single Domain for Generalization
Qingyue Yang, Hongjing Niu, Pengfei Xia +2
Domain generalization (DG), aiming at models able to work on multiple unseen domains, is a must-have characteristic of general artificial intelligence. DG based on single source do…
CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition
Hanting Li, Hongjing Niu, Zhaoqing Zhu +1
Facial expression recognition (FER) is an essential task for understanding human behaviors. As one of the most informative behaviors of humans, facial expressions are often compoun…
Domain-Unified Prompt Representations for Source-Free Domain Generalization
Hongjing Niu, Hanting Li, Feng Zhao +1
Domain generalization (DG), aiming to make models work on unseen domains, is a surefire way toward general artificial intelligence. Limited by the scale and diversity of current DG…
Understanding the Error in Evaluating Adversarial Robustness
Pengfei Xia, Ziqiang Li, Hongjing Niu +1
Deep neural networks are easily misled by adversarial examples. Although lots of defense methods are proposed, many of them are demonstrated to lose effectiveness when against prop…