3 papers
cs.CV2026
ElasticFormer: Detecting Objects in HRW Shots via Elastic Computing Vision Transformer
Wenxi Li, Jingchen Huang, Chenyang Lyu +4
Recent advances in gigapixel-level imaging have brought High-Resolution Wide shots to the forefront of research. However, these images present significant challenges: extreme spars…
cs.CV2026
BiHashFormer: Hash-Driven Dual-Branch Transformer for Efficient Object Detection in HRW Shots
Jingchen Huang, Wenxi Li, Chenyang Lyu +3
Recent advances in gigapixel-level imaging have brought High-Resolution Wide shots to the forefront of research. However, these images present significant challenges: extreme spars…
cs.RO2026
Latent Action as Intention Enables Efficient Future Imagination for World Action Models
Xiang Li, Yupeng Zheng, Songen Gu +11
World action models (WAMs) improve robot control by modeling how observations evolve, but generating future observations at test time incurs substantial latency. Fast-WAM removes t…