2 papers
cs.CL2026
TeCoP: Accelerating Diffusion Large Language Model Decoding via Tentative Context Pipelining
Jui-Chien Tsou, Hsuan-Chi Liu, Wei-Chin Wang +2
Diffusion large language models (dLLMs) predict multiple token positions per forward pass, yet block-wise decoders serialize generation and repeatedly recompute stable predictions.…
cs.CV2025
MVA 2025 Small Multi-Object Tracking for Spotting Birds Challenge: Dataset, Methods, and Results
Yuki Kondo, Norimichi Ukita, Riku Kanayama +21
Small Multi-Object Tracking (SMOT) is particularly challenging when targets occupy only a few dozen pixels, rendering detection and appearance-based association unreliable. Buildin…