Ke Li

CoRR, 2024

ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process.

[BibT_eX]

[DOI]

CoRR, 2024

IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs.

[BibT_eX]

[DOI]

Yuzhen Mao

Martin Ester

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis.

[BibT_eX]

[DOI]

Chirag Vashist

Proceedings of the Computer Vision - ECCV 2024, 2024

PAPR in Motion: Seamless Point-level 3D Scene Interpolation.

[BibT_eX]

[DOI]

Yanshu Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

How Good Are Deep Generative Models for Solving Inverse Problems?

[BibT_eX]

[DOI]

Alireza Moazeni

Alexia Jolicoeur-Martineau

CoRR, 2023

DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion models with location-scale noise.

[BibT_eX]

[DOI]

Kilian Fatras

Tal Kachman

CoRR, 2023

PAPR: Proximity Attention Point Rendering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NeRF Revisited: Fixing Quadrature Instability in Volume Rendering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive IMLE for Few-shot Pretraining-free Generative Modelling.

[BibT_eX]

[DOI]

Mehran Aghabozorgi

Proceedings of the International Conference on Machine Learning, 2023

DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion.

[BibT_eX]

[DOI]

George Kiyohiro Nakayama

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates.

[BibT_eX]

[DOI]

Mikaela Angelina Uy

Ricardo Martin-Brualla

Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis.

[BibT_eX]

[DOI]

Seyed Alireza Moazenipourasil

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multimodal Shape Completion via Implicit Maximum Likelihood Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Deep Learning of Latent Edge Types from Relational Data.

[BibT_eX]

[DOI]

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021

Shape Completion via IMLE.

[BibT_eX]

[DOI]

CoRR, 2021

Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis.

[BibT_eX]

[DOI]

Alireza Moazeni

Alexia Jolicoeur-Martineau

CoRR, 2021

Deep Medial Fields.

[BibT_eX]

[DOI]

CoRR, 2021

Gotta Go Fast When Generating Data with Score-Based Models.

[BibT_eX]

[DOI]

CoRR, 2021

Variational Model Inversion Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DeRF: Decomposed Radiance Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Better Knowledge Retention through Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Generating Unobserved Alternatives.

[BibT_eX]

[DOI]

CoRR, 2020

Inclusive GAN: Improving Data and Minority Coverage in Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Advances in Machine Learning: Nearest Neighbour Search, Learning to Optimize and Generative Modelling.

[BibT_eX]

[DOI]

PhD thesis, 2019

Trajectory Normalized Gradients for Distributed Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Approximate Feature Collisions in Neural Nets.

[BibT_eX]

[DOI]

Tianhao Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Diverse Image Synthesis From Semantic Layouts via Conditional IMLE.

[BibT_eX]

[DOI]

Tianhao Zhang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors.

[BibT_eX]

[DOI]

Yedid Hoshen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Are All Training Examples Created Equal? An Empirical Study.

[BibT_eX]

[DOI]

Kailas Vodrahalli

CoRR, 2018

On the Implicit Assumptions of GANs.

[BibT_eX]

[DOI]

CoRR, 2018

Super-Resolution via Conditional Implicit Maximum Likelihood Estimation.

[BibT_eX]

[DOI]

CoRR, 2018

Implicit Maximum Likelihood Estimation.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Learning to Optimize Neural Nets.

[BibT_eX]

[DOI]

CoRR, 2017

Fast k-Nearest Neighbour Search via Prioritized DCI.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to Optimize.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Amodal Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Iterative Instance Segmentation.

[BibT_eX]

[DOI]

Bharath Hariharan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Bandit Label Inference for Weakly Supervised Learning.

[BibT_eX]

[DOI]