Chuan Sheng Foo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
13
Active years
2009–2024
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AAAI | Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction. | Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin |
| 2024 | CVPR | R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization. | Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin |
| 2024 | CVPR | REACTO: Reconstructing Articulated Objects from a Single Video. | Chaoyue Song, Jiacheng Wei, Chuan Sheng Foo, Guosheng Lin, Fayao Liu |
| 2024 | ECCV | 3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views. | Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin |
| 2024 | ISCAS | The Initialization Factor: Understanding its Impact on Active Learning for Analog Circuit Design. | Sezin Kircali Ata, Zhi-Hui Kong, Anusha James, Lile Cai, Kiat Seng Yeo, Khin Mi Mi Aung, Chuan Sheng Foo, Ashish James |
| 2023 | AAAI | Probably Approximate Shapley Fairness with Applications in Machine Learning. | Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2023 | AISTATS | No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities. | Sebastian Shenghong Tay, Quoc Phong Nguyen, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2023 | AISTATS | FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery. | Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2023 | ICASSP | On Adversarial Robustness of Audio Classifiers. | Kangkang Lu, Manh Cuong Nguyen, Xun Xu, Chuan Sheng Foo |
| 2022 | AAAI | Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. | Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2022 | ICASSP | A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings. | Huijuan Yang, Aaron S. Coyner, Feri Guretno, Ivan Ho Mien, Chuan Sheng Foo, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Pavitra Krishnaswamy |
| 2022 | ICML | Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity. | Sebastian Shenghong Tay, Chuan Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low |
| 2022 | ICPR | Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding. | Xian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan Sheng Foo, Kui Jia |
| 2022 | ISCAS | Bayesian Deep Active Learning for Analog Circuit Performance Classification. | Lining Zhang, Salahuddin Raju, Ashish James, Rahul Dutta, Gregoire Fournier, Damien Lancry, Kevin Chai Tshun Chuan, Vijay Ramaseshan Chandrasekhar, Chuan Sheng Foo |
| 2021 | BMVC | On Automatic Data Augmentation for 3D Point Cloud Classification. | Wanyue Zhang, Xun Xu, Fayao Liu, Le Zhang, Chuan Sheng Foo |
| 2021 | CVPR | Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs. | Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo |
| 2020 | MICCAI | Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean. | Balagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chuan Sheng Foo, Pavitra Krishnaswamy |
| 2019 | CVPR | MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. | Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar |
| 2019 | ISLPED | TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. | Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly |
| 2018 | ICLR | Semi-Supervised Learning With GANs: Revisiting Manifold Regularization. | Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar |
| 2009 | DASFAA | Searching for Rising Stars in Bibliography Networks. | Xiaoli Li, Chuan Sheng Foo, Kar Leong Tew, See-Kiong Ng |