8 citations · 12 across the 5 of their papers we have counts for
5 papers
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets
Tianyi Liu, Zhaorui Tan, Kaizhu Huang +1
Medical image segmentation presents the challenge of segmenting various-size targets, demanding the model to effectively capture both local and global information. Despite recent e…
HardTaint: Production-Run Dynamic Taint Analysis via Selective Hardware Tracing
Yiyu Zhang, Tianyi Liu, Yueyang Wang +6
Dynamic taint analysis (DTA), as a fundamental analysis technique, is widely used in security, privacy, and diagnosis, etc. As DTA demands to collect and analyze massive taint data…
LEMON: Lossless model expansion
Yite Wang, Jiahao Su, Hanlin Lu +6
Scaling of deep neural networks, especially Transformers, is pivotal for their surging performance and has further led to the emergence of sophisticated reasoning capabilities in f…
Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method
Tianyi Liu, Kejun Wu, Yi Wang +3
The past decade has witnessed great strides in video recovery by specialist technologies, like video inpainting, completion, and error concealment. However, they typically simulate…
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation
Tianyi Liu, Zuxuan Wu, Wenhan Xiong +2
Most existing vision-language pre-training methods focus on understanding tasks and use BERT-like objectives (masked language modeling and image-text matching) during pretraining.…