3.7k citations · 13.3k across the 162 of their papers we have counts for
16 papers · 1 filter
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong, Luu Anh Tuan, Min Lin +2
The fine-tuning of pre-trained language models has a great success in many NLP fields. Yet, it is strikingly vulnerable to adversarial examples, e.g., word substitution attacks usi…
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
Shiming Chen, Ziming Hong, Wenjin Hou +6
Zero-shot learning (ZSL) tackles the novel class recognition problem by transferring semantic knowledge from seen classes to unseen ones. Existing attention-based models have strug…
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition
Yuxuan Liang, Pan Zhou, Roger Zimmermann +1
While transformers have shown great potential on video recognition with their strong capability of capturing long-range dependencies, they often suffer high computational costs ind…
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering
Mingfei Chen, Jianfeng Zhang, Xiangyu Xu +4
In this work we develop a generalizable and efficient Neural Radiance Field (NeRF) pipeline for high-fidelity free-viewpoint human body synthesis under settings with sparse camera…
Direct Multi-view Multi-person 3D Pose Estimation
Tao Wang, Jianfeng Zhang, Yujun Cai +2
We present Multi-view Pose transformer (MvP) for estimating multi-person 3D poses from multi-view images. Instead of estimating 3D joint locations from costly volumetric representa…
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing
Yu Liu, Mingbo Zhao, Zhao Zhang +2
Deep learning based virtual try-on system has achieved some encouraging progress recently, but there still remain several big challenges that need to be solved, such as trying on a…