3 papers
cs.CV2026
Deformation-based In-Context Learning for Point Cloud Understanding
Chengxing Lin, Jinhong Deng, Yinjie Lei +1
Recent advances in point cloud In-Context Learning (ICL) have demonstrated strong multitask capabilities. Existing approaches typically adopt a Masked Point Modeling (MPM)-based pa…
cs.CV2026
Instance-Free Domain Adaptive Object Detection
Hengfu Yu, Jinhong Deng, Lixin Duan +1
While Domain Adaptive Object Detection (DAOD) has made significant strides, most methods rely on unlabeled target data that is assumed to contain sufficient foreground instances. H…
cs.CV2025
SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
Jinhong Deng, Wen Li, Joey Tianyi Zhou +1
Multimodal Large Language Models (MLLMs) typically process a large number of visual tokens, leading to considerable computational overhead, even though many of these tokens are red…