3 papers
cs.LG2026
: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness
Lang Xiong, Ning Liu, Ao Ren +6
Large language models (LLMs) face significant deployment challenges due to their massive computational demands. % While pruning offers a promising compression solution, existing me…
cs.CV2024
Trustworthy Self-Attention: Enabling the Network to Focus Only on the Most Relevant References
Yu Jing, Tan Yujuan, Ren Ao +1
The prediction of optical flow for occluded points is still a difficult problem that has not yet been solved. Recent methods use self-attention to find relevant non-occluded points…
cs.CV2024
YOIO: You Only Iterate Once by mining and fusing multiple necessary global information in the optical flow estimation
Yu Jing, Tan Yujuan, Ren Ao +1
Occlusions pose a significant challenge to optical flow algorithms that even rely on global evidences. We consider an occluded point to be one that is imaged in the reference frame…