Zhiding Yu

发表

Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification pdf

Weiyang Liu, Yandong Wen, Zhiding Yu, 2015, BMVC.

Generalized Transitive Distance with Minimum Spanning Random Forest

B. V. K. Vijaya Kumar, Wenbo Liu, Weiyang Liu, 2015, IJCAI.

Large-Margin Softmax Loss for Convolutional Neural Networks pdf

Meng Yang, Weiyang Liu, Yandong Wen, 2016, ICML.

Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter pdf

Ting-Chun Wang, Karan Sapra, Bryan Catanzaro, 2020, ArXiv.

FreeSOLO: Learning to Segment Objects without Annotations

Shalini De Mello, Anima Anandkumar, J. Álvarez, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Regularizing Neural Networks via Minimizing Hyperspherical Energy (with Appendix)

Le Song, Weiyang Liu, Zhiding Yu, 2020 .

Understanding The Robustness in Vision Transformers

Anima Anandkumar, J. Álvarez, Zhiding Yu, 2022, ICML.

Convex Optimization Project Report : Mode Seeking with Convex Shift and Interactive Learning

Zhiding Yu, 2010 .

Decoupled Networks ( with Appendix )

James M. Rehg, Le Song, Bo Dai, 2018 .

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision pdf

Yuke Zhu, Anima Anandkumar, Zhiding Yu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Panoptic SegFormer pdf

Anima Anandkumar, Ping Luo, Enze Xie, 2021, ArXiv.

Supplementary: Confidence Regularized Self-Training

B. Kumar, Zhiding Yu, Xiaofeng Liu, 2019 .

How Much More Data Do I Need? Estimating Requirements for Downstream Tasks

S. Fidler, Zhiding Yu, David Acuna, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning

Song-Chun Zhu, Anima Anandkumar, Yuke Zhu, 2022, ICLR.

MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training

Anima Anandkumar, De-An Huang, Zhiding Yu, 2022, NeurIPS.

Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models

Anima Anandkumar, T. Goldstein, De-An Huang, 2022, NeurIPS.

Practical Machine Learning Safety: A Survey and Primer pdf

Zhangyang Wang, Haotao Wang, Chaowei Xiao, 2021, ArXiv.

PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition

Zhiding Yu, Chaowei Xiao, Weili Nie, 2022, ArXiv.

1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track

A. Yuille, Anima Anandkumar, Zhiding Yu, 2022, ArXiv.

M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation

S. Fidler, Anima Anandkumar, P. Luo, 2022, ArXiv.

Vision Transformers are Good Mask Auto-Labelers

Anima Anandkumar, J. Álvarez, Zhiding Yu, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning

Yuke Zhu, Zhiding Yu, Song-Chun Zhu, 2022, International Conference on Learning Representations.

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers pdf

Anima Anandkumar, Ping Luo, Enze Xie, 2021, NeurIPS.

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Dong Yang, Daguang Xu, Lequan Yu, 2020, Medical Image Anal..

Delving Deeper into Anti-Aliasing in ConvNets pdf

Yong Jae Lee, Fanyi Xiao, Zhiding Yu, 2020, International Journal of Computer Vision.

Multi-kernel collaborative representation for image classification

Meng Yang, Yuexian Zou, Weiyang Liu, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

KCRC-LCD: Discriminative kernel collaborative representation with locality constrained dictionary for visual categorization pdf

Hui Li, Yuexian Zou, Weiyang Liu, 2014, Pattern Recognit..

Unsupervised Controllable Generation with Self-Training

Grigorios G. Chrysos, Anima Anandkumar, Jean Kossaifi, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training

Yang Zou, B. V. K. Vijaya Kumar, Jinsong Wang, 2018, ArXiv.

Efficient autism spectrum disorder prediction with eye movement: A machine learning framework

Li Yi, Ming Li, Bhiksha Raj, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

Image based Static Facial Expression Recognition with Multiple Deep Network Learning

Cha Zhang, Zhiding Yu, Cha Zhang, 2015, ICMI.

Confidence Regularized Self-Training

Xiaofeng Liu, Yang Zou, Jinsong Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

Li Fei-Fei, Yuke Zhu, Anima Anandkumar, 2021, ICML.

Angular Visual Hardness

Anima Anandkumar, Anshumali Shrivastava, Beidi Chen, 2019, ICML.

Regularizing Neural Networks via Minimizing Hyperspherical Energy

James M. Rehg, Le Song, Weiyang Liu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning towards Minimum Hyperspherical Energy

Le Song, Zhen Liu, Bo Dai, 2018, NeurIPS.

SphereFace: Deep Hypersphere Embedding for Face Recognition

Bhiksha Raj, Ming Li, Le Song, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Contrastive Syn-to-Real Generalization pdf

Anima Anandkumar, Zhangyang Wang, Shalini De Mello, 2021, ICLR.

Automated Synthetic-to-Real Generalization

Anima Anandkumar, Zhangyang Wang, Zhiding Yu, 2020, ICML.

Partial Convolution based Padding pdf

Ting-Chun Wang, Karan Sapra, Bryan Catanzaro, 2018, ArXiv.

Coupled Segmentation and Edge Learning via Dynamic Graph Propagation

Anima Anandkumar, Wonmin Byeon, J. Kautz, 2021, NeurIPS.

Decoupled Networks

Le Song, James M. Rehg, Zhen Liu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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

Sanja Fidler, Anima Anandkumar, Zhiding Yu, 2021, ICML.

Panoptic SegFormer

Anima Anandkumar, Ping Luo, J. Álvarez, 2021 .

Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection

Ismail Elezi, Laura Leal-Taixe, Jose M. Alvarez, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Taxonomy of Machine Learning Safety: A Survey and Primer

Zhangyang Wang, Zhiding Yu, Chaowei Xiao, 2021, ACM Comput. Surv..

An adaptive unsupervised approach toward pixel clustering and color image segmentation

Oscar C. Au, Jing Tian, Weiyu Yu, 2010, Pattern Recognit..

Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering

Zhang Yi, Huajin Tang, Xi Peng, 2012, IEEE Transactions on Cybernetics.

Learning Strict Identity Mappings in Deep Residual Networks

Xin Yu, Srikumar Ramalingam, Zhiding Yu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers

Anima Anandkumar, P. Luo, J. Álvarez, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection

Yong Jae Lee, Jan Kautz, Alexander G. Schwing, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

AugMax: Adversarial Composition of Random Augmentations for Robust Training pdf

Jean Kossaifi, Zhangyang Wang, Haotao Wang, 2021, NeurIPS.

Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions

Anima Anandkumar, C. Choy, Zhiding Yu, 2021, NeurIPS.

Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions

Zhiding Yu, B. Kailkhura, Chaowei Xiao, 2022, ArXiv.

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion

S. Fidler, Anima Anandkumar, J. Álvarez, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Simultaneous Edge Alignment and Learning pdf

Yang Zou, B. V. K. Vijaya Kumar, Jan Kautz, 2018, ECCV.

Joint Discriminative and Generative Learning for Person Re-Identification

Zhedong Zheng, Jan Kautz, Yi Yang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions

Anima Anandkumar, Yuke Zhu, Zhiding Yu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

UFO$^2$: A Unified Framework towards Omni-supervised Object Detection pdf

Jan Kautz, Alexander G. Schwing, Ming-Yu Liu, 2020, ECCV.

Real-Time Radiance Fields for Single-Image Portrait View Synthesis

Matthew A. Chan, R. Ramamoorthi, Manmohan Chandraker, 2023, ACM Trans. Graph..

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification pdf

Yang Zou, Jan Kautz, Zhiding Yu, 2020, ECCV.

CASENet: Deep Category-Aware Semantic Edge Detection

Ming-Yu Liu, Chen Feng, Srikumar Ramalingam, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Category-Aware Semantic Edge Detection

Ming-Yu Liu, Srikumar Ramalingam, Zhiding Yu, 2022 .

A modified fuzzy c-means algorithm with adaptive spatial information for color image segmentation

Simin Yu, Ruobing Zou, Zhiding Yu, 2009, 2009 IEEE Symposium on Computational Intelligence for Image Processing.

Automatic object segmentation from large scale 3D urban point clouds through manifold embedded mode seeking

Oscar C. Au, Xiaoou Tang, Jianzhuang Liu, 2011, ACM Multimedia.

CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs

Shalini De Mello, N. Vasconcelos, X. Wang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Contrastive Representation for Semantic Correspondence

Shalini De Mello, Ming-Hsuan Yang, J. Kautz, 2021, International Journal of Computer Vision.

An iterative framework for unsupervised learning in the PLDA based speaker verification

Ming Li, Wenbo Liu, Zhiding Yu, 2014, The 9th International Symposium on Chinese Spoken Language Processing.

Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning

Ankit B. Patel, Anima Anandkumar, Yuke Zhu, 2020, NeurIPS.

Improving Adversarial Robustness in 3D Point Cloud Classiﬁcation via Self-Supervisions

Anima Anandkumar, C. Choy, Zhiding Yu, 2021 .

Prismer: A Vision-Language Model with An Ensemble of Experts

Anima Anandkumar, Linxi (Jim) Fan, Edward Johns, 2023, ArXiv.

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning

M. Shoeybi, Bryan Catanzaro, Anima Anandkumar, 2023, ArXiv.

R EL V I T: C ONCEPT - GUIDED V ISION T RANSFORMER FOR V ISUAL R ELATIONAL R EASONING

Song-Chun Zhu, Anima Anandkumar, Yuke Zhu, 2022 .

Distributionally Robust Learning for Uncertainty Calibration under Domain Shift

Anima Anandkumar, Junchi Yan, Anqi Liu, 2020, 2010.05784.

Deep Distributionally Robust Learning for Calibrated Uncertainties under Domain Shift

Anima Anandkumar, Junchi Yan, Anqi Liu, 2021 .

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving

Yue Wang, F. Yu, Yue Wang, 2023, ArXiv.

On ACO-Based Fuzzy Clustering for Image Segmentation

Weiyu Yu, Simin Yu, Ruobing Zou, 2009, ISNN.

Neural Networks with Recurrent Generative Feedback

Doris Y. Tsao, Anima Anandkumar, James Gornet, 2020, NeurIPS.

Distributionally Robust Learning for Unsupervised Domain Adaptation pdf

Yisong Yue, Anima Anandkumar, Haoxuan Wang, 2020, ArXiv.

Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training

B. V. Vijaya Kumar, Zhiding Yu, Yang Zou, 2018, ECCV.

Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation

Jan Kautz, Ming-Yu Liu, Aysegul Dundar, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Partial Convolution for Padding, Inpainting, and Image Synthesis

Kevin J. Shih, Bryan Catanzaro, A. Dundar, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

S. Fidler, Anima Anandkumar, P. Luo, 2012, The Country Houses of Shropshire.

Robust Elastic Net Regression pdf

Meng Yang, Weiyang Liu, Zhiding Yu, 2015, ArXiv.

Transitive Distance Clustering with K-Means Duality

Deyu Meng, Wenbo Liu, Jianzhuang Liu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach

Junchi Yan, Anima Anandkumar, Anqi Liu, 2023, IJCAI.

Supplementary Material Simultaneous Edge Alignment and Learning

J. Kautz, B. Kumar, Weiyang Liu, 2018 .

Towards Reducing Labeling Cost in Deep Object Detection pdf

Anima Anandkumar, Ismail Elezi, Laura Leal-Taixe, 2021, ArXiv.

Image Interpolation Using Autoregressive Model and Gauss-Seidel Optimization

Lu Fang, Oscar C. Au, Ketan Tang, 2011, 2011 Sixth International Conference on Image and Graphics.

Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training

B. V. Vijaya Kumar, Zhiding Yu, Yang Zou, 2018, ECCV.

Nonparametric density estimation on a graph: Learning framework, fast approximation and application in image segmentation

Oscar C. Au, Ketan Tang, Chunjing Xu, 2011, CVPR 2011.

Differentially Private Video Activity Recognition

Anima Anandkumar, De-An Huang, Zhiding Yu, 2023, ArXiv.

SSCBench: Monocular 3D Semantic Scene Completion Benchmark in Street Views

F. Yu, Yue Wang, Zhiding Yu, 2023, 2306.09001.

FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

J. Álvarez, J. Kautz, Zhiding Yu, 2023, ArXiv.

FB-BEV: BEV Representation from Forward-Backward View Transformations

Anima Anandkumar, J. Álvarez, Zhiding Yu, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

FocalFormer3D : Focusing on Hard Instance for 3D Object Detection

Jiaya Jia, Anima Anandkumar, J. Álvarez, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Prismer: A Vision-Language Model with Multi-Task Experts

Anima Anandkumar, Linxi (Jim) Fan, Edward Johns, 2023, Trans. Mach. Learn. Res..

Texture optimization for seamless view synthesis through energy minimization

Oscar C. Au, Wei Hu, Wenxiu Sun, 2012, ACM Multimedia.

Bag of textons for image segmentation via soft clustering and convex shift

Oscar C. Au, Ang Li, Chunjing Xu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning

M. Shoeybi, Bryan Catanzaro, Anima Anandkumar, 2023, EMNLP.

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion

S. Fidler, Anima Anandkumar, J. Álvarez, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ResNet Sparsifier: Learning Strict Identity Mappings in Deep Residual Networks

Zhiding Yu, Xin Yu, Srikumar Ramalingam, 2018, 1804.01661.