2 citations · 5 across the 8 of their papers we have counts for
8 papers
Global Attention-Fused Image Cropping with Attention-Guided and Global-Aligned Crop Evaluator
Haotian Yang, Zhile Yang, Kin-Man Lam +2
Image cropping aims to improve image aesthetics by preserving important content within an appropriately composed region. However, most existing methods focus primarily on salient r…
DAC-Pose: Dual-Agent Collaborative Framework for Pose-Guided Human Generation
Haotian Yang, Zhile Yang, Huiyu Zhou +1
AI agents have emerged as a powerful new paradigm in generative image synthesis, enabling systems to perform complex semantic reasoning rather than passive pixel-level mapping. In…
SynAgent: Generalizable Cooperative Humanoid Manipulation via Solo-to-Cooperative Agent Synergy
Wei Yao, Haohan Ma, Hongwen Zhang +5
Controllable cooperative humanoid manipulation is a fundamental yet challenging problem for embodied intelligence, due to severe data scarcity, complexities in multi-agent coordina…
Sparsification and Reconstruction from the Perspective of Representation Geometry
Wenjie Sun, Bingzhe Wu, Zhile Yang +1
Sparse Autoencoders (SAEs) have emerged as a predominant tool in mechanistic interpretability, aiming to identify interpretable monosemantic features. However, how does sparse enco…
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks
Zhile Yang, Shangqi Guo, Ying Fang +1
One stream of reinforcement learning research is exploring biologically plausible models and algorithms to simulate biological intelligence and fit neuromorphic hardware. Among the…
Distributed Fusion Estimation for Stochastic Uncertain Systems with Network-Induced Complexity and Multiple Noise
Li Liu, Wenju Zhou, Minrui Fei +3
This paper investigates an issue of distributed fusion estimation under network-induced complexity and stochastic parameter uncertainties. First, a novel signal selection method ba…
Structured Context Enhancement Network for Mouse Pose Estimation
Feixiang Zhou, Zheheng Jiang, Zhihua Liu +8
Automated analysis of mouse behaviours is crucial for many applications in neuroscience. However, quantifying mouse behaviours from videos or images remains a challenging problem,…
A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access
Jinzhi Lin, Shengzhong Feng, Zhile Yang +2
Sparse code multiple access (SCMA) has been one of non-orthogonal multiple access (NOMA) schemes aiming to support high spectral efficiency and ubiquitous access requirements for 5…