9 citations · 25 across the 10 of their papers we have counts for
11 papers
SPACE: Sparse Predictive Attractor via Counterfactual Eviction for Streaming Video Memory
Hongjin Niu, Weizhan Zhang, Shuo Bao +4
Fixed-capacity streaming video memory requires repeated eviction decisions whose effects accumulate over time. Yet existing policies are evaluated primarily in terms of retained in…
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…
Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild
Hanting Li, Hongjing Niu, Zhaoqing Zhu +1
Compared with the image-based static facial expression recognition (SFER) task, the dynamic facial expression recognition (DFER) task based on video sequences is closer to the natu…
Enhancing Backdoor Attacks with Multi-Level MMD Regularization
Pengfei Xia, Hongjing Niu, Ziqiang Li +1
While Deep Neural Networks (DNNs) excel in many tasks, the huge training resources they require become an obstacle for practitioners to develop their own models. It has become comm…
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…
A New Perspective on Stabilizing GANs training: Direct Adversarial Training
Ziqiang Li, Pengfei Xia, Rentuo Tao +2
Generative Adversarial Networks (GANs) are the most popular image generation models that have achieved remarkable progress on various computer vision tasks. However, training insta…
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
Ziqiang Li, Rentuo Tao, Hongjing Niu +1
Generative adversarial nets (GANs) have been successfully applied in many fields like image generation, inpainting, super-resolution and drug discovery, etc., by now, the inner pro…