Ke Li

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 37

Top Topics

Maximum Likelihood

Weakly Supervised Learning

Nearest Neighbour

Top Venues

Publications

Alireza Moazeni, Shichong Peng, Ke Li
Intrinsic PAPR for Point-level 3D Scene Albedo and Shading Editing. CoRR (2024)
Yanshu Zhang, Shichong Peng, Alireza Moazeni, Ke Li
PAPR: Proximity Attention Point Rendering. NeurIPS (2023)
Yanshu Zhang, Shichong Peng, Alireza Moazeni, Ke Li
PAPR: Proximity Attention Point Rendering. CoRR (2023)
Mehran Aghabozorgi, Shichong Peng, Ke Li
Adaptive IMLE for Few-shot Pretraining-free Generative Modelling. ICML (2023)
Shichong Peng, Alireza Moazeni, Ke Li
How Good Are Deep Generative Models for Solving Inverse Problems? CoRR (2023)
Himanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li, Ali Mahdavi-Amiri
Multimodal Shape Completion via Implicit Maximum Likelihood Estimation. CVPR Workshops (2022)
Shichong Peng, Alireza Moazeni, Ke Li
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis. CoRR (2022)
Shichong Peng, Seyed Alireza Moazenipourasil, Ke Li
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis. NeurIPS (2022)
Shichong Peng, Alireza Moazeni, Ke Li
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis. CoRR (2021)
Himanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li, Ali Mahdavi-Amiri
Shape Completion via IMLE. CoRR (2021)
Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. ECCV (22) (2020)
Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. CoRR (2020)
Ke Li, Shichong Peng, Tianhao Zhang, Jitendra Malik
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation. CoRR (2020)
Shichong Peng, Ke Li
Generating Unobserved Alternatives. CoRR (2020)
Ke Li, Shichong Peng, Tianhao Zhang, Jitendra Malik
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation. Int. J. Comput. Vis. 128 (10) (2020)
Ke Li, Shichong Peng, Kailas Vodrahalli, Jitendra Malik
Better Knowledge Retention through Metric Learning. CoRR (2020)
Ke Li, Tianhao Zhang, Jitendra Malik
Diverse Image Synthesis From Semantic Layouts via Conditional IMLE. ICCV (2019)
Ke Li, Tianhao Zhang, Jitendra Malik
Approximate Feature Collisions in Neural Nets. NeurIPS (2019)
Jianqiao Wangni, Ke Li, Jianbo Shi, Jitendra Malik
Trajectory Normalized Gradients for Distributed Optimization. CoRR (2019)
Yedid Hoshen, Ke Li, Jitendra Malik
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors. CVPR (2019)
Kailas Vodrahalli, Ke Li, Jitendra Malik
Are All Training Examples Created Equal? An Empirical Study. CoRR (2018)
Ke Li, Tianhao Zhang, Jitendra Malik
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE. CoRR (2018)
Ke Li, Jitendra Malik
Implicit Maximum Likelihood Estimation. CoRR (2018)
Ke Li, Jitendra Malik
On the Implicit Assumptions of GANs. CoRR (2018)
Ke Li, Shichong Peng, Jitendra Malik
Super-Resolution via Conditional Implicit Maximum Likelihood Estimation. CoRR (2018)
Ke Li, Jitendra Malik
Learning to Optimize. ICLR (Poster) (2017)
Ke Li, Jitendra Malik
Learning to Optimize Neural Nets. CoRR (2017)
Ke Li, Jitendra Malik
Fast k-Nearest Neighbour Search via Prioritized DCI. CoRR (2017)
Ke Li, Jitendra Malik
Fast k-Nearest Neighbour Search via Prioritized DCI. ICML (2017)
Ke Li, Bharath Hariharan, Jitendra Malik
Iterative Instance Segmentation. CVPR (2016)
Ke Li, Jitendra Malik
Amodal Instance Segmentation. ECCV (2) (2016)
Ke Li, Jitendra Malik
Amodal Instance Segmentation. CoRR (2016)
Ke Li, Jitendra Malik
Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing. ICML (2016)
Ke Li, Jitendra Malik
Learning to Optimize. CoRR (2016)
Ke Li, Jitendra Malik
Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing. CoRR (2015)
Ke Li, Bharath Hariharan, Jitendra Malik
Iterative Instance Segmentation. CoRR (2015)
Ke Li, Jitendra Malik
Bandit Label Inference for Weakly Supervised Learning. CoRR (2015)