Publications (7)
DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales
Kaihui Cheng, Zhiqiang Cai, Peng Tu +6
Proteins function through coordinated motion across multiple spatial and temporal scales, underpinning processes such as ligand binding, allostery, and catalysis. However, accessin…
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
Peng Tu, Yawen Huang, Rongrong Ji +2
Semi-supervised learning is a challenging problem which aims to construct a model by learning from a limited number of labeled examples. Numerous methods have been proposed to tack…
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization
Peng Tu, Xun Zhou, Mingming Wang +7
Neural Radiance Fields (NeRF) have emerged as a paradigm-shifting methodology for the photorealistic rendering of objects and environments, enabling the synthesis of novel viewpoin…
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
Peng Tu, Yawen Huang, Feng Zheng +3
Semi-supervised learning is a challenging problem which aims to construct a model by learning from limited labeled examples. Numerous methods for this task focus on utilizing the p…
BARD: Bridging AutoRegressive and Diffusion Vision-Language Models Via Highly Efficient Progressive Block Merging and Stage-Wise Distillation
Baoyou Chen, Hanchen Xia, Peng Tu +5
Autoregressive vision-language models (VLMs) deliver strong multimodal capability, but their token-by-token decoding imposes a fundamental inference bottleneck. Diffusion VLMs offe…
Learning Triangular Distribution in Visual World
Ping Chen, Xingpeng Zhang, Chengtao Zhou +4
Convolution neural network is successful in pervasive vision tasks, including label distribution learning, which usually takes the form of learning an injection from the non-linear…
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs
Peng Tu, Xu Xie, Guo AI +3
Efficient detectors for edge devices are often optimized for parameters or speed count metrics, which remain in weak correlation with the energy of detectors. However, some vision…