Yu-Xiong Wang

CoRR, 2024

InstructG2I: Synthesizing Images from Multimodal Attributed Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Floating No More: Object-Ground Reconstruction from a Single Image.

[BibT_eX]

[DOI]

CoRR, 2024

InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction.

[BibT_eX]

[DOI]

CoRR, 2024

Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

An Empirical Comparison of Code Generation Approaches for Ansible.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE/ACM International Workshop on Interpretability, 2024

Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models.

[BibT_eX]

[DOI]

Andy Zhou

Michal Shlapentokh-Rothman

Haohan Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories.

[BibT_eX]

[DOI]

Qianlan Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching.

[BibT_eX]

[DOI]

Alexander G. Schwing

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Frozen Transformers in Language Models Are Effective Visual Encoder Layers.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Robust Model-Based Optimization for Challenging Fitness Landscapes.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RMem: Restricted Memory Banks Improve Video Object Segmentation.

[BibT_eX]

[DOI]

Junbao Zhou

Ziqi Pang

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

TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding.

[BibT_eX]

[DOI]

Zhihao Zhang

Shengcao Cao

Michal Shlapentokh-Rothman

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

Region-Based Representations Revisited.

[BibT_eX]

[DOI]

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

Instruct 4D-to-4D: Editing 4D Scenes as Pseudo-3D Scenes Using 2D Diffusion.

[BibT_eX]

[DOI]

Linzhan Mou

Jun-Kun Chen

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

Situational Awareness Matters in 3D Vision Language Reasoning.

[BibT_eX]

[DOI]

Yunze Man

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

ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing.

[BibT_eX]

[DOI]

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

Aligning Large Multimodal Models with Factually Augmented RLHF.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Semi-Supervised Object Detection in the Open World.

[BibT_eX]

[DOI]

CoRR, 2023

Is Pre-training Truly Better Than Meta-Learning?

[BibT_eX]

[DOI]

CoRR, 2023

Property-Guided Generative Modelling for Robust Model-Based Design with Imbalanced Data.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields.

[BibT_eX]

[DOI]

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

Do Pre-trained Models Benefit Equally in Continual Learning?

[BibT_eX]

[DOI]

Kuan-Ying Lee

Yuanyi Zhong

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

YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis.

[BibT_eX]

[DOI]

Volodymyr V. Kindratenko

George Heintz

Christopher Zallek

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

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models.

[BibT_eX]

[DOI]

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

A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories.

[BibT_eX]

[DOI]

Alexander G. Schwing

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

ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields.

[BibT_eX]

[DOI]

Jiahua Dong

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

HASSOD: Hierarchical Adaptive Self-Supervised Object Detection.

[BibT_eX]

[DOI]

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

Revisiting Deformable Convolution for Depth Completion.

[BibT_eX]

[DOI]

Xinglong Sun

Jean Ponce

IROS, 2023

Streaming Motion Forecasting for Autonomous Driving.

[BibT_eX]

[DOI]

IROS, 2023

DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception.

[BibT_eX]

[DOI]

Yunze Man

Liangyan Gui

IROS, 2023

Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Stochastic Multi-Person 3D Motion Forecasting.

[BibT_eX]

[DOI]

Sirui Xu

Liangyan Gui

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Empirical Analysis of Range for 3D Object Detection.

[BibT_eX]

[DOI]

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

Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study.

[BibT_eX]

[DOI]

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

Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors.

[BibT_eX]

[DOI]

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

Multi-task View Synthesis with Neural Radiance Fields.

[BibT_eX]

[DOI]

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

Video State-Changing Object Segmentation.

[BibT_eX]

[DOI]

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

MV-Map: Offboard HD Map Generation with Multi-view Consistency.

[BibT_eX]

[DOI]

Ziyang Xie

Ziqi Pang

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

InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion.

[BibT_eX]

[DOI]

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

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking.

[BibT_eX]

[DOI]

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

BEV-Guided Multi-Modality Fusion for Driving Perception.

[BibT_eX]

[DOI]

Yunze Man

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

NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds.

[BibT_eX]

[DOI]

Jun-Kun Chen

Jipeng Lyu

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

Contrastive Mean Teacher for Domain Adaptive Object Detectors.

[BibT_eX]

[DOI]

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

Object Discovery from Motion-Guided Tokens.

[BibT_eX]

[DOI]

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

2022

Learning with an Evolving Class Ontology.

[BibT_eX]

[DOI]

CoRR, 2022

PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees.

[BibT_eX]

[DOI]

Junkun Chen

CoRR, 2022

The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence.

[BibT_eX]

[DOI]

CoRR, 2022

Is Self-Supervised Learning More Robust Than Supervised Learning?

[BibT_eX]

[DOI]

CoRR, 2022

CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations.

[BibT_eX]

[DOI]

Alexander G. Schwing

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

Continual Learning with Evolving Class Ontologies.

[BibT_eX]

[DOI]

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

Generative Modeling for Multi-task Visual Learning.

[BibT_eX]

[DOI]

Zhipeng Bao

Proceedings of the International Conference on Machine Learning, 2022

On the Importance of Firth Bias Reduction in Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Generalized Few-Shot Node Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors.

[BibT_eX]

[DOI]

Sirui Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees.

[BibT_eX]

[DOI]

Jun-Kun Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering.

[BibT_eX]

[DOI]

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

Embracing Single Stride 3D Object Detector with Sparse Transformer.

[BibT_eX]

[DOI]

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

Discovering Objects that Can Move.

[BibT_eX]

[DOI]

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

Long- Tailed Recognition via Weight Balancing.

[BibT_eX]

[DOI]

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

2021

Does MAML Only Work via Feature Re-use? A Data Centric Perspective.

[BibT_eX]

[DOI]

Brando Miranda

Sanmi Koyejo

CoRR, 2021

SIRfyN: Single Image Relighting from your Neighbors.

[BibT_eX]

[DOI]

CoRR, 2021

Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.

[BibT_eX]

[DOI]

Nadine Chang

Zhiding Yu

Animashree Anandkumar

Sanja Fidler

José M. Álvarez

Proceedings of the 38th International Conference on Machine Learning, 2021

Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis.

[BibT_eX]

[DOI]

Zhipeng Bao

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

Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

On the Importance of Distractors for Few-Shot Classification.

[BibT_eX]

[DOI]

Rajshekhar Das

José M. F. Moura

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DAP: Detection-Aware Pre-Training With Weak Supervision.

[BibT_eX]

[DOI]

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

Hallucination Improves Few-Shot Object Detection.

[BibT_eX]

[DOI]

Weilin Zhang

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

Unlocking the Full Potential of Small Data With Diverse Supervision.

[BibT_eX]

[DOI]

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

2020

Cooperating RPN's Improve Few-Shot Object Detection.

[BibT_eX]

[DOI]

Weilin Zhang

David A. Forsyth

CoRR, 2020

Few-Shot Learning with Intra-Class Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2020

Alpha Net: Adaptation with Composition in Classifier Space.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Streaming Image Understanding.

[BibT_eX]

[DOI]

Mengtian Li

CoRR, 2020

Towards Streaming Perception.

[BibT_eX]

[DOI]

Mengtian Li

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning Generalizable Representations via Diverse Supervision.

[BibT_eX]

[DOI]

CoRR, 2019

Embodied One-Shot Video Recognition: Learning from Actions of a Virtual Embodied Agent.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Meta-Learning to Detect Rare Objects.

[BibT_eX]

[DOI]

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

Learning Compositional Representations for Few-Shot Recognition.

[BibT_eX]

[DOI]

Pavel Tokmakov

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

Image Deformation Meta-Networks for One-Shot Learning.

[BibT_eX]

[DOI]

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

2018

Learning to Learn for Small Sample Visual Recognition.

[BibT_eX]

[DOI]

PhD thesis, 2018

Factorized Convolutional Networks: Unsupervised Fine-Tuning for Image Clustering.

[BibT_eX]

[DOI]

Liangke Gui

Louis-Philippe Morency

José M. F. Moura

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

Teaching Robots to Predict Human Motion.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Few-Shot Human Motion Prediction via Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Adversarial Geometry-Aware Human Motion Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Low-Shot Learning From Imaginary Data.

[BibT_eX]

[DOI]

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

2017

Class specific centralized dictionary learning for face recognition.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

Learning to Model the Tail.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Few-Shot Hash Learning for Image Retrieval.

[BibT_eX]

[DOI]

Liangke Gui

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Growing a Brain: Fine-Tuning by Increasing Model Capacity.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Blockwise coordinate descent schemes for efficient and effective dictionary learning.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Face recognition using class specific dictionary learning for sparse representation and collaborative representation.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs.

[BibT_eX]

[DOI]

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

Class specific discriminant dictionary learning with kernels for face recognition.

[BibT_eX]

[DOI]

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2016, 2016

Learning to Learn: Model Regression Networks for Easy Small Sample Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Learning by Transferring from Unsupervised Universal Sources.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Model recommendation: Generating object detectors from few samples.

[BibT_eX]

[DOI]

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

2014

Class specific dictionary learning for face recognition.

[BibT_eX]

[DOI]

Bao-Di Liu

Bin Shen

Proceedings of the Proceedings IEEE International Conference on Security, 2014

Class specific subspace learning for collaborative representation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Blockwise coordinate descent schemes for sparse representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Self-explanatory Sparse Representation for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Nonnegative Matrix Factorization: A Comprehensive Review.

[BibT_eX]

[DOI]

Yu-Jin Zhang

IEEE Trans. Knowl. Data Eng., 2013

Learning dictionary on manifolds for image classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

Self-Explanatory Convex Sparse Representation for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2013

2012

Neighborhood Preserving Non-negative Tensor Factorization for image representation.

[BibT_eX]

[DOI]

Yu-Jin Zhang

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Discriminant sparse coding for image classification.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Image inpainting via Weighted Sparse Non-negative Matrix Factorization.

[BibT_eX]

[DOI]