6 citations · 8 across the 4 of their papers we have counts for
4 papers
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models
Xinjian Wu, Ruisong Zhang, Jie Qin +2
Segmenting and recognizing diverse object parts is crucial in computer vision and robotics. Despite significant progress in object segmentation, part-level segmentation remains und…
D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
Zhongwei Wan, Xinjian Wu, Yu Zhang +8
Generative inference in Large Language Models (LLMs) is impeded by the growing memory demands of Key-Value (KV) cache, especially for longer sequences. Traditional KV cache evictio…
PPT: Token Pruning and Pooling for Efficient Vision Transformers
Xinjian Wu, Fanhu Zeng, Xiudong Wang +1
Vision Transformers (ViTs) have emerged as powerful models in the field of computer vision, delivering superior performance across various vision tasks. However, the high computati…
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
Wenzhuo Liu, Xinjian Wu, Fei Zhu +3
Deep Neural Network (DNN) has achieved great success on datasets of closed class set. However, new classes, like new categories of social media topics, are continuously added to th…