3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2025
Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data
Ke Fan, Shunlin Lu, Minyue Dai +6
Generating diverse and natural human motion sequences based on textual descriptions constitutes a fundamental and challenging research area within the domains of computer vision, g…
cs.CV2025★ 1 cited
MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
Lixing Xiao, Shunlin Lu, Huaijin Pi +7
This paper addresses the challenge of text-conditioned streaming motion generation, which requires us to predict the next-step human pose based on variable-length historical motion…
cs.CV2024★ 3 cited
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
Lixing Xiao, Ruixiao Shi, Xiaoyang Tang +1
Previous works on object detection have achieved high accuracy in closed-set scenarios, but their performance in open-world scenarios is not satisfactory. One of the challenging op…