Publications (5)
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance
Zhao Yang, Zezhong Qian, Xiaofan Li +5
Accurate and high-fidelity driving scene reconstruction demands the effective utilization of comprehensive scene information as conditional inputs. Existing methods predominantly r…
Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems
Xing Lei, Longjun Liu, Zhiheng Zhou +2
In this paper, we explore how to design lightweight CNN architecture for embedded computing systems. We propose L-Mobilenet model for ZYNQ based hardware platform. L-Mobilenet can…
ChunkFlow: Towards Continuity-Consistent Chunked Policy Learning
Zhao Yang, Yinan Shi, Mingyuan Yao +3
ChunkFlow introduces a seam‑aware training and execution framework for chunked robot policies that reduces boundary jitter by using deterministic overlap blending and continuity lo…
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic Fusion
Haoteng Li, Zhao Yang, Zezhong Qian +5
Accurate and high-fidelity driving scene reconstruction relies on fully leveraging scene information as conditioning. However, existing approaches, which primarily use 3D bounding…
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance
Hongyi He, Longjun Liu, Haonan Zhang +1
Among existing Neural Architecture Search methods, DARTS is known for its efficiency and simplicity. This approach applies continuous relaxation of network representation to constr…