6 papers
LAPX: Lightweight Hourglass Network with Global Context
Haopeng Zhao, Marsha Mariya Kappan, Mahdi Bamdad +1
Human pose estimation is a crucial task in computer vision. Methods that have SOTA (State-of-the-Art) accuracy, often involve a large number of parameters and incur substantial com…
Repulsor: Accelerating Generative Modeling with a Contrastive Memory Bank
Shaofeng Zhang, Xuanqi Chen, Ning Liao +7
The dominance of denoising generative models (e.g., diffusion, flow-matching) in visual synthesis is tempered by their substantial training costs and inefficiencies in representati…
HyPerNav: Hybrid Perception for Object-Oriented Navigation in Unknown Environment
Zecheng Yin, Hao Zhao, Zhen Li
Objective-oriented navigation(ObjNav) enables robot to navigate to target object directly and autonomously in an unknown environment. Effective perception in navigation in unknown…
Selective Structured State Space for Multispectral-fused Small Target Detection
Qianqian Zhang, WeiJun Wang, Yunxing Liu +4
Target detection in high-resolution remote sensing imagery faces challenges due to the low recognition accuracy of small targets and high computational costs. The computational com…
Next-Scale Autoregressive Models are Zero-Shot Single-Image Object View Synthesizers
Shiran Yuan, Hao Zhao
Methods based on diffusion backbones have recently revolutionized novel view synthesis (NVS). However, those models require pretrained 2D diffusion checkpoints (e.g., Stable Diffus…
Hybrid Spatial Representations for Species Distribution Modeling
Shiran Yuan, Hao Zhao
We address an important problem in ecology called Species Distribution Modeling (SDM), whose goal is to predict whether a species exists at a certain position on Earth. In particul…