402 citations
- Zhejiang UniversityCN32 papers
- Alibaba Group (China)CN18 papers
- Peking UniversityCN13 papers
- Bellevue Hospital CenterUS12 papers
- Chinese Academy of SciencesCN10 papers
- Nanyang Technological UniversitySG10 papers
- Tsinghua UniversityCN8 papers
- Renmin University of ChinaCN7 papers
- Tianjin UniversityCN7 papers
- East China Normal UniversityCN6 papers
- Shanghai Jiao Tong UniversityCN6 papers
- University of Hong KongHK6 papers
60 papers · 1 filter
IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination
Xi Chen, Sida Peng, Dongchen Yang +4
This paper aims to recover object materials from posed images captured under an unknown static lighting condition. Recent methods solve this task by optimizing material parameters…
DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions
Xuhong Ren, Jianlang Chen, Felix Juefei-Xu +5
Network architecture search (NAS), in particular the differentiable architecture search (DARTS) method, has shown a great power to learn excellent model architectures on the specif…
Enhance Images as You Like with Unpaired Learning
Xiaopeng Sun, Muxingzi Li, Tianyu He +1
Low-light image enhancement exhibits an ill-posed nature, as a given image may have many enhanced versions, yet recent studies focus on building a deterministic mapping from input…
Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training
Yuqing Song, Shizhe Chen, Qin Jin +3
Translating e-commercial product descriptions, a.k.a product-oriented machine translation (PMT), is essential to serve e-shoppers all over the world. However, due to the domain spe…
Support-Set Based Cross-Supervision for Video Grounding
Xinpeng Ding, Nannan Wang, Shiwei Zhang +5
Current approaches for video grounding propose kinds of complex architectures to capture the video-text relations, and have achieved impressive improvements. However, it is hard to…
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
Bowen Dong, Zitong Huang, Yuelin Guo +3
Weakly-supervised object detection (WSOD) has emerged as an inspiring recent topic to avoid expensive instance-level object annotations. However, the bounding boxes of most existin…