Alvarez, Jose M.

74 publications

WACV 2025 Advancing Weight and Channel Sparsification with Enhanced Saliency Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, Jose M. Alvarez

JAIR 2025 Counterfactual Situation Testing: From Single to Multidimensional Discrimination José M. Álvarez, Salvatore Ruggieri

ICCV 2025 Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training Zhenxin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Zuxuan Wu, Jose M. Alvarez

NeurIPS 2025 IBGS: Image-Based Gaussian Splatting Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez, Miaomiao Liu

CVPR 2025 Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez, Miaomiao Liu

CVPR 2025 MDP: Multidimensional Vision Model Pruning with Latency Constraint Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, Jose M. Alvarez

CVPR 2025 OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, Jose M. Alvarez

JMLR 2025 Optimizing Data Collection for Machine Learning Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law

CVPR 2025 PARC: A Quantitative Framework Uncovering the Symmetries Within Vision Language Models Jenny Schmalfuss, Nadine Chang, Vibashan Vs, Maying Shen, Andres Bruhn, Jose M. Alvarez

ICLR 2024 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez

CVPR 2024 BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection Zhenxin Li, Shiyi Lan, Jose M. Alvarez, Zuxuan Wu

ICLR 2024 FasterViT: Fast Vision Transformers with Hierarchical Attention Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

CVPR 2024 Improving Distant 3D Object Detection Using 2D Box Supervision Zetong Yang, Zhiding Yu, Chris Choy, Renhao Wang, Anima Anandkumar, Jose M. Alvarez

CVPR 2024 Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, Jose M. Alvarez

NeurIPS 2024 Memorize What Matters: Emergent Scene Decomposition from Multitraverse Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, Jose M. Alvarez

CVPR 2024 Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation Hoang Chuong Nguyen, Tianyu Wang, Jose M. Alvarez, Miaomiao Liu

ECCV 2024 SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation Lingchen Meng, Shiyi Lan, Hengduo Li, Jose M Alvarez, Zuxuan Wu, Yu-Gang Jiang

CVPRW 2024 What Is Point Supervision Worth in Video Instance Segmentation? Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar

NeurIPSW 2023 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez

NeurIPSW 2023 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez

AAAI 2023 Can We Trust Fair-AI? Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana, Laura State, Franco Turini

ICCV 2023 FB-BEV: BEV Representation from Forward-Backward View Transformations Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, Jose M. Alvarez

ICCV 2023 FocalFormer3D: Focusing on Hard Instance for 3D Object Detection Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, Jose M. Alvarez

ICCV 2023 Fully Attentional Networks with Self-Emerging Token Labeling Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, Jose M. Alvarez

CVPR 2023 Knowledge Distillation for 6d Pose Estimation by Aligning Distributions of Local Predictions Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann

ICCV 2023 Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View Jiayu Yang, Enze Xie, Miaomiao Liu, Jose M. Alvarez

ICCV 2023 Towards Viewpoint Robustness in Bird's Eye View Segmentation Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, Jose M. Alvarez

CVPR 2023 Vision Transformers Are Good Mask Auto-Labelers Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, Jose M. Alvarez, Anima Anandkumar

CVPR 2023 VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion Yiming Li, Zhiding Yu, Christopher Choy, Chaowei Xiao, Jose M. Alvarez, Sanja Fidler, Chen Feng, Anima Anandkumar

CVPR 2022 A-ViT: Adaptive Tokens for Efficient Vision Transformer Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov

ECCVW 2022 Augmenting Legacy Networks for Flexible Inference Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler

CVPR 2022 FreeSOLO: Learning to Segment Objects Without Annotations Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez

CVPR 2022 How Much More Data Do I Need? Estimating Requirements for Downstream Tasks Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law

CVPR 2022 Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo Jiayu Yang, Jose M. Alvarez, Miaomiao Liu

CVPR 2022 Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez

NeurIPS 2022 Optimizing Data Collection for Machine Learning Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc Law

CVPR 2022 Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo, Tong Lu

NeurIPS 2022 Structural Pruning via Latency-Saliency Knapsack Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez

ICML 2022 Understanding the Robustness in Vision Transformers Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez

CVPR 2022 When to Prune? a Policy Towards Early Structural Pruning Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez

ICCV 2021 Active Learning for Deep Object Detection via Probabilistic Modeling Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clement Farabet, Jose M. Alvarez

ICLR 2021 Contrastive Syn-to-Real Generalization Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar

NeurIPS 2021 Distilling Image Classifiers in Object Detectors Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann

ICML 2021 Image-Level or Object-Level? a Tale of Two Resampling Strategies for Long-Tailed Detection Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M Alvarez

CVPR 2021 Optimal Quantization Using Scaled Codebook Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel A. Carreira-Perpinan, Jose M. Alvarez

ICLR 2021 Personalized Federated Learning with First Order Model Optimization Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez

CVPR 2021 See Through Gradients: Image Batch Recovery via GradInversion Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

NeurIPS 2021 SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo

CVPR 2021 Self-Supervised Learning of Depth Inference for Multi-View Stereo Jiayu Yang, Jose M. Alvarez, Miaomiao Liu

NeurIPS 2020 ExpandNets: Linear Over-Parameterization to Train Compact Convolutional Networks Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann

WACV 2020 Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions Kashyap Chitta, Jose M. Alvarez, Martial Hebert

ICCVW 2019 VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks Susan Gao, Xin Liu, Lung-Sheng Chien, William Zhang, José M. Álvarez

ECCV 2018 Effective Use of Synthetic Data for Urban Scene Semantic Segmentation Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez

ICCV 2017 Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez

NeurIPS 2017 Compression-Aware Training of Deep Networks Jose M Alvarez, Mathieu Salzmann

ICCV 2017 Domain-Adaptive Deep Network Compression Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jose M. Alvarez

CVPRW 2017 EMOTIC: Emotions in Context Dataset Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza

CVPR 2017 Emotion Recognition in Context Ronak Kosti, Jose M. Alvarez, Adria Recasens, Agata Lapedriza

ECCV 2016 Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez

WACV 2016 Efficient Transductive Semantic Segmentation José M. Álvarez, Mathieu Salzmann, Nick Barnes

ECCV 2016 Learning Image Matching by Simply Watching Video Gucan Long, Laurent Kneip, José M. Álvarez, Hongdong Li, Xiaohu Zhang, Qifeng Yu

NeurIPS 2016 Learning the Number of Neurons in Deep Networks Jose M Alvarez, Mathieu Salzmann

ECCV 2016 Less Is More: Towards Compact CNNs Hao Zhou, Jose M. Alvarez, Fatih Porikli

WACV 2014 Data-Driven Road Detection José M. Álvarez, Mathieu Salzmann, Nick Barnes

WACV 2014 Large-Scale Semantic Co-Labeling of Image Sets José M. Álvarez, Mathieu Salzmann, Nick Barnes

ICCVW 2013 Evaluating Color Representations for On-Line Road Detection José M. Álvarez, Theo Gevers, Antonio M. López

ICCVW 2013 Exploiting Sparsity for Real Time Video Labelling Lachlan Horne, Jose M. Alvarez, Nick Barnes

ECCV 2012 Road Scene Segmentation from a Single Image José M. Álvarez, Theo Gevers, Yann LeCun, Antonio M. López

ECCV 2012 Semantic Road Segmentation via Multi-Scale Ensembles of Learned Features José M. Álvarez, Yann LeCun, Theo Gevers, Antonio M. López

ECCVW 2012 Semantic Road Segmentation via Multi-Scale Ensembles of Learned Features José M. Álvarez, Yann LeCun, Theo Gevers, Antonio M. López

ECCV 2012 Understanding Road Scenes Using Visual Cues and GPS Information José M. Álvarez, Felipe Lumbreras, Antonio M. López, Theo Gevers

ECCVW 2012 Understanding Road Scenes Using Visual Cues and GPS Information José M. Álvarez, Felipe Lumbreras, Antonio M. López, Theo Gevers

CVPR 2010 3D Scene Priors for Road Detection José M. Álvarez, Theo Gevers, Antonio M. López

CVPR 2009 Learning Photometric Invariance from Diversified Color Model Ensembles José M. Álvarez, Theo Gevers, Antonio M. López