21 citations · 138 across the 53 of their papers we have counts for
19 papers · 1 filter
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation
Shentong Mo, Enze Xie, Yue Wu +3
Diffusion Transformers have recently shown remarkable effectiveness in generating high-quality 3D point clouds. However, training voxel-based diffusion models for high-resolution 3…
Linker-Tuning: Optimizing Continuous Prompts for Heterodimeric Protein Prediction
Shuxian Zou, Hui Li, Shentong Mo +3
Predicting the structure of interacting chains is crucial for understanding biological systems and developing new drugs. Large-scale pre-trained Protein Language Models (PLMs), suc…
Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning
Jiantao Wu, Shentong Mo, Sara Atito +3
Recently, self-supervised metric learning has raised attention for the potential to learn a generic distance function. It overcomes the limitations of conventional supervised one,…
Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling
Shentong Mo, Pedro Morgado
Humans possess a remarkable ability to integrate auditory and visual information, enabling a deeper understanding of the surrounding environment. This early fusion of audio and vis…
Weakly-Supervised Audio-Visual Segmentation
Shentong Mo, Bhiksha Raj
Audio-visual segmentation is a challenging task that aims to predict pixel-level masks for sound sources in a video. Previous work applied a comprehensive manually designed archite…
MultiIoT: Benchmarking Machine Learning for the Internet of Things
Shentong Mo, Louis-Philippe Morency, Russ Salakhutdinov +1
The next generation of machine learning systems must be adept at perceiving and interacting with the physical world through a diverse array of sensory channels. Commonly referred t…