Kihyuk Sohn

Nitesh Bharadwaj Gundavarapu

Jinwoo Shin

CoRR, 2024

Unsupervised LLM Adaptation for Question Answering.

[BibT_eX]

[DOI]

CoRR, 2024

Direct Consistency Optimization for Compositional Text-to-Image Personalization.

[BibT_eX]

[DOI]

CoRR, 2024

Instruct-Imagen: Image Generation with Multi-modal Instruction.

[BibT_eX]

[DOI]

CoRR, 2024

2023

SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

VideoPoet: A Large Language Model for Zero-Shot Video Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Photorealistic Video Generation with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Improve Supervised Representation Learning with Masked Image Modeling.

[BibT_eX]

[DOI]

Mojtaba Seyedhosseini

CoRR, 2023

Language Model Beats Diffusion - Tokenizer is Key to Visual Generation.

[BibT_eX]

[DOI]

Lijun Yu

José Lezama

Alexander G. Hauptmann

CoRR, 2023

Label Budget Allocation in Multi-Task Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Collaborative Score Distillation for Consistent Visual Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

StyleDrop: Text-to-Image Generation in Any Style.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Disentangled Prompts for Compositional Image Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types.

[BibT_eX]

[DOI]

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

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning.

[BibT_eX]

[DOI]

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

StyleDrop: Text-to-Image Synthesis of Any Style.

[BibT_eX]

[DOI]

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

Collaborative Score Distillation for Consistent Visual Editing.

[BibT_eX]

[DOI]

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

Video Probabilistic Diffusion Models in Projected Latent Space.

[BibT_eX]

[DOI]

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

MAGVIT: Masked Generative Video Transformer.

[BibT_eX]

[DOI]

Alexander G. Hauptmann

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

Visual Prompt Tuning for Generative Transfer Learning.

[BibT_eX]

[DOI]

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

Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval.

[BibT_eX]

[DOI]

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

Prefix Conditioning Unifies Language and Label Supervision.

[BibT_eX]

[DOI]

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

MaskSketch: Unpaired Structure-guided Masked Image Generation.

[BibT_eX]

[DOI]

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

FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Federated Semi-Supervised Learning with Prototypical Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Group Robustness in the presence of Partial Group Labels.

[BibT_eX]

[DOI]

Vishnu Suresh Lokhande

CoRR, 2022

AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Self-Trained One-class Classification for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Controlling Neural Networks with Rule Representations.

[BibT_eX]

[DOI]

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

Object-aware Contrastive Learning for Debiased Scene Representation.

[BibT_eX]

[DOI]

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

Learning and Evaluating Representations for Deep One-Class Classification.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning.

[BibT_eX]

[DOI]

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

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization.

[BibT_eX]

[DOI]

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

2020

Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques.

[BibT_eX]

[DOI]

CoRR, 2020

i-Mix: A Strategy for Regularizing Contrastive Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

A Simple Semi-Supervised Learning Framework for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Face Recognition by Clustering Unlabeled Faces in the Wild.

[BibT_eX]

[DOI]

Aruni RoyChowdhury

Xiang Yu

Erik G. Learned-Miller

Manmohan Chandraker

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Universal Representation Learning for Deep Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adaptation Across Extreme Variations using Unlabeled Bridges.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Adversarial Learning of Privacy-Preserving and Task-Oriented Representations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring.

[BibT_eX]

[DOI]

CoRR, 2019

Adaptation Across Extreme Variations using Unlabeled Domain Bridges.

[BibT_eX]

[DOI]

CoRR, 2019

Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Unsupervised Domain Adaptation for Distance Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Domain Adaptation for Structured Output via Discriminative Patch Representations.

[BibT_eX]

[DOI]

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

Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild.

[BibT_eX]

[DOI]

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

Active Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

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

Feature Transfer Learning for Face Recognition With Under-Represented Data.

[BibT_eX]

[DOI]

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

2018

Feature Transfer Learning for Deep Face Recognition with Long-Tail Data.

[BibT_eX]

[DOI]

CoRR, 2018

Joint Pixel and Feature-level Domain Adaptation in the Wild.

[BibT_eX]

[DOI]

CoRR, 2018

Channel-Recurrent Autoencoding for Image Modeling.

[BibT_eX]

[DOI]

Yuandong Tian

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Learning to Adapt Structured Output Space for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Channel-Recurrent Variational Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2017

Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2017

Towards Large-Pose Face Frontalization in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units.

[BibT_eX]

[DOI]

Justin Chiu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Improved Deep Metric Learning with Multi-class N-pair Loss Objective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units.

[BibT_eX]

[DOI]

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

Attribute2Image: Conditional Image Generation from Visual Attributes.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Learning Structured Output Representation using Deep Conditional Generative Models.

[BibT_eX]

[DOI]

Xinchen Yan

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Improved Multimodal Deep Learning with Variation of Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning to Disentangle Factors of Variation with Manifold Interaction.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling.

[BibT_eX]

[DOI]

Andrew Kae

Erik G. Learned-Miller

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Online Incremental Feature Learning with Denoising Autoencoders.

[BibT_eX]

[DOI]

Guanyu Zhou

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Learning Invariant Representations with Local Transformations.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

An interpretation of the Cover and Leung capacity region for the MAC with feedback through stochastic control.

[BibT_eX]

[DOI]

Achilleas Anastasopoulos