most citedSingle-image Full-body Human Relighting

12 citations · 26 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL20226 cited

Lossless Acceleration for Seq2seq Generation with Aggressive Decoding

Tao Ge, Heming Xia, Xin Sun +2

We study lossless acceleration for seq2seq generation with a novel decoding algorithm -- Aggressive Decoding. Unlike the previous efforts (e.g., non-autoregressive decoding) speedi…

cs.CV2022

RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects

Yunseok Jang, Ruben Villegas, Jimei Yang +3

There have been remarkable successes in computer vision with deep learning. While such breakthroughs show robust performance, there have still been many challenges in learning in-d…

cs.CL20222 cited

Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification

Zihan Wang, Peiyi Wang, Lianzhe Huang +2

Hierarchical text classification is a challenging subtask of multi-label classification due to its complex label hierarchy. Existing methods encode text and label hierarchy separat…

cs.CL20223 cited

A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model

Xin Sun, Tao Ge, Shuming Ma +3

Synthetic data construction of Grammatical Error Correction (GEC) for non-English languages relies heavily on human-designed and language-specific rules, which produce limited erro…

cs.HC2022

Instant Reality: Gaze-Contingent Perceptual Optimization for 3D Virtual Reality Streaming

Shaoyu Chen, Budmonde Duinkharjav, Xin Sun +5

Media streaming has been adopted for a variety of applications such as entertainment, visualization, and design. Unlike video/audio streaming where the content is usually consumed…

cs.CV202112 cited

Single-image Full-body Human Relighting

Manuel Lagunas, Xin Sun, Jimei Yang +5

We present a single-image data-driven method to automatically relight images with full-body humans in them. Our framework is based on a realistic scene decomposition leveraging pre…