Jose M. Alvarez

ORCID

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 122

Top Venues

CoRR

CVPR

Intelligent Vehicles Symposium

NeurIPS

Publications

Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. CVPR (2023)
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
FasterViT: Fast Vision Transformers with Hierarchical Attention. CoRR (2023)
Jose M. Alvarez, Salvatore Ruggieri
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference. CoRR (2023)
Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, Jose M. Alvarez, Sanja Fidler, Chen Feng, Anima Anandkumar
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion. CoRR (2023)
Jose M. Alvarez, Kristen M. Scott, Salvatore Ruggieri, Bettina Berendt
Domain Adaptive Decision Trees: Implications for Accuracy and Fairness. CoRR (2023)
Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, Jose M. Alvarez, Anima Anandkumar
Vision Transformers Are Good Mask Auto-Labelers. CoRR (2023)
Jiayu Yang, Wei Mao, Jose M. Alvarez, Miaomiao Liu
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law
Optimizing Data Collection for Machine Learning. CoRR (2022)
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. CVPR (2022)
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose M. Alvarez
Understanding The Robustness in Vision Transformers. ICML (2022)
Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez
FreeSOLO: Learning to Segment Objects without Annotations. CVPR (2022)
Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov
A-ViT: Adaptive Tokens for Efficient Vision Transformer. CVPR (2022)
Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, Jose M. Alvarez
Soft Masking for Cost-Constrained Channel Pruning. CoRR (2022)
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
Structural Pruning via Latency-Saliency Knapsack. NeurIPS (2022)
Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo, Tong Lu
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. CVPR (2022)
Jiayu Yang, Jose M. Alvarez, Miaomiao Liu
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo. CoRR (2022)
Yigong Zhang, Jin Xie, Jose M. Alvarez, Cheng-Zhong Xu, Jian Yang, Hui Kong
Capitalizing on RGB-FIR Hybrid Imaging for Road Detection. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez
When to Prune? A Policy towards Early Structural Pruning. CVPR (2022)
Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, Jose M. Alvarez, Christoph Angerer
Object-Level Targeted Selection via Deep Template Matching. IV (2022)
Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, Jose M. Alvarez
Soft Masking for Cost-Constrained Channel Pruning. ECCV (11) (2022)
Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law
Optimizing Data Collection for Machine Learning. NeurIPS (2022)
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
Structural Pruning via Latency-Saliency Knapsack. CoRR (2022)
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR (2022)
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, Jose M. Alvarez
Understanding The Robustness in Vision Transformers. CoRR (2022)
Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. BMVC (2022)
Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, Jose M. Alvarez, Christoph Angerer
Object-Level Targeted Selection via Deep Template Matching. CoRR (2022)
Jason Clemons, Iuri Frosio, Maying Shen, Jose M. Alvarez, Stephen W. Keckler
Augmenting Legacy Networks for Flexible Inference. ECCV Workshops (7) (2022)
Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann
Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment. CoRR (2022)
Jiayu Yang, Jose M. Alvarez, Miaomiao Liu
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo. CVPR (2022)
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR (2022)
Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez
FreeSOLO: Learning to Segment Objects without Annotations. CoRR (2022)
Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, Jose M. Alvarez
BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. CoRR (2022)
Kashyap Chitta, Jose M. Alvarez, Elmar Haussmann, Clément Farabet
Training Data Subset Search With Ensemble Active Learning. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez
Personalized Federated Learning with First Order Model Optimization. ICLR (2021)
Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez
When to Prune? A Policy towards Early Structural Pruning. CoRR (2021)
Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, Jose M. Alvarez
Active Learning for Deep Object Detection via Probabilistic Modeling. CoRR (2021)
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar
Contrastive Syn-to-Real Generalization. CoRR (2021)
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez
Towards Reducing Labeling Cost in Deep Object Detection. CoRR (2021)
Jiayu Yang, Jose M. Alvarez, Miaomiao Liu
Self-Supervised Learning of Depth Inference for Multi-View Stereo. CVPR (2021)
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar
Contrastive Syn-to-Real Generalization. ICLR (2021)
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. CoRR (2021)
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
HALP: Hardware-Aware Latency Pruning. CoRR (2021)
Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann
Distilling Image Classifiers in Object Detectors. NeurIPS (2021)
Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, Jose M. Alvarez
Active Learning for Deep Object Detection via Probabilistic Modeling. ICCV (2021)
Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Tong Lu, Ping Luo
Panoptic SegFormer. CoRR (2021)
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jose M. Alvarez
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. ICML (2021)
Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
See through Gradients: Image Batch Recovery via GradInversion. CoRR (2021)
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. NeurIPS (2021)
Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann
Distilling Image Classifiers in Object Detectors. CoRR (2021)
Akshay Chawla, Hongxu Yin, Pavlo Molchanov, Jose M. Alvarez
Data-free Knowledge Distillation for Object Detection. WACV (2021)
Jiayu Yang, Jose M. Alvarez, Miaomiao Liu
Self-supervised Learning of Depth Inference for Multi-view Stereo. CoRR (2021)
Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
See Through Gradients: Image Batch Recovery via GradInversion. CVPR (2021)
Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. CoRR (2021)
Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov
AdaViT: Adaptive Tokens for Efficient Vision Transformer. CoRR (2021)
Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, Jose M. Alvarez
Optimal Quantization Using Scaled Codebook. CVPR (2021)
Xinnan Du, William Zhang, Jose M. Alvarez
Boosting Supervised Learning Performance with Co-training. CoRR (2021)
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, Jose M. Alvarez
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. CoRR (2021)
Xinnan Du, William Zhang, Jose M. Alvarez
Boosting Supervised Learning Performance with Co-training. IV (2021)
Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks. NeurIPS (2020)
Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez
Personalized Federated Learning with First Order Model Optimization. CoRR (2020)
Hongxu Yin, Pavlo Molchanov, Jose M. Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR (2020)
Ronak Kosti, Jose M. Alvarez, Adrià Recasens, Àgata Lapedriza
Context Based Emotion Recognition Using EMOTIC Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 42 (11) (2020)
Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, Jose M. Alvarez
Scalable Active Learning for Object Detection. CoRR (2020)
Jiayu Yang, Wei Mao, Jose M. Alvarez, Miaomiao Liu
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. CVPR (2020)
Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, Jose M. Alvarez
Scalable Active Learning for Object Detection. IV (2020)
Ronak Kosti, Jose M. Alvarez, Adrià Recasens, Àgata Lapedriza
Context Based Emotion Recognition using EMOTIC Dataset. CoRR (2020)
Yingna Su, Yicheng Gao, Yigong Zhang, Jose M. Alvarez, Jian Yang, Hui Kong
An Illumination-Invariant Nonparametric Model for Urban Road Detection. IEEE Trans. Intell. Veh. 4 (1) (2019)
Shuo Gu, Yigong Zhang, Jian Yang, Jose M. Alvarez, Hui Kong
Two-View Fusion based Convolutional Neural Network for Urban Road Detection. IROS (2019)
Shuo Gu, Yigong Zhang, Jinhui Tang, Jian Yang, Jose M. Alvarez, Hui Kong
Integrating Dense LiDAR-Camera Road Detection Maps by a Multi-Modal CRF Model. IEEE Trans. Veh. Technol. 68 (12) (2019)
Shuang Gao, Xin Liu, Lung-Sheng Chien, William Zhang, Jose M. Alvarez
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks. CoRR (2019)
Susan Gao, Xin Liu, Lung-Sheng Chien, William Zhang, Jose M. Alvarez
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks. ICCV Workshops (2019)
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR (2019)
Jingwen Zheng, Juliana Y. Leung, Ronald P. Sawatzky, Jose M. Alvarez
An AI-based workflow for estimating shale barrier configurations from SAGD production histories. Neural Comput. Appl. 31 (9) (2019)
Kashyap Chitta, Jose M. Alvarez, Elmar Haussmann, Clément Farabet
Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. CoRR (2019)
Jiayu Yang, Wei Mao, Jose M. Alvarez, Miaomiao Liu
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. CoRR (2019)
Eduardo Romera, Luis Miguel Bergasa, Kailun Yang, Jose M. Alvarez, Rafael Barea
Bridging the Day and Night Domain Gap for Semantic Segmentation. IV (2019)
Ran Wei, Antonio Robles-Kelly, Jose M. Alvarez
Context Free Band Reduction Using a Convolutional Neural Network. S+SSPR (2018)
Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. CoRR (2018)
Dibyayan Chakraborty, Partha Pratim Roy, Rajkumar Saini, Jose M. Alvarez, Umapada Pal
Frame selection for OCR from video stream of book flipping. Multim. Tools Appl. 77 (1) (2018)
Kashyap Chitta, Jose M. Alvarez, Adam Lesnikowski
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization. CoRR (2018)
Shuo Gu, Tao Lu, Yigong Zhang, Jose M. Alvarez, Jian Yang, Hui Kong
3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection. IEEE Trans. Intell. Veh. 3 (3) (2018)
Qi Wang, Luis Miguel Bergasa, Jose M. Alvarez
Guest Editorial Introduction to the Special Issue on Robust and Efficient Vision Techniques for Intelligent Vehicles. IEEE Trans. Intell. Transp. Syst. 19 (1) (2018)
Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann
ExpandNets: Exploiting Linear Redundancy to Train Small Networks. CoRR (2018)
Kashyap Chitta, Jose M. Alvarez, Adam Lesnikowski
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles. CoRR (2018)
Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez, Stephen Gould
Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40 (6) (2018)
Eduardo Romera, Luis Miguel Bergasa, Jose M. Alvarez, Mohan M. Trivedi
Train Here, Deploy There: Robust Segmentation in Unseen Domains. Intelligent Vehicles Symposium (2018)
Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. ECCV (2) (2018)
Eduardo Romera, Jose M. Alvarez, Luis Miguel Bergasa, Roberto Arroyo
ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 19 (1) (2018)
Yigong Zhang, Shuo Gu, Jian Yang, Jose M. Alvarez, Hui Kong
Fusion of LiDAR and Camera by Scanning in LiDAR Imagery and Image-Guided Diffusion for Urban Road Detection. Intelligent Vehicles Symposium (2018)
Jiaming Zeng, Adam Lesnikowski, Jose M. Alvarez
The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning. CoRR (2018)
Mingmei Cheng, Yigong Zhang, Yingna Su, Jose M. Alvarez, Hui Kong
Curb Detection for Road and Sidewalk Detection. IEEE Trans. Veh. Technol. 67 (11) (2018)
Albert Jimenez, Jose M. Alvarez, Xavier Giró-i-Nieto
Class Weighted Convolutional Features for Visual Instance Search. BMVC (2017)
Ronak Kosti, Jose M. Alvarez, Adrià Recasens, Àgata Lapedriza
EMOTIC: Emotions in Context Dataset. CVPR Workshops (2017)
Eduardo Romera, Jose M. Alvarez, Luis Miguel Bergasa, Roberto Arroyo
Efficient ConvNet for real-time semantic segmentation. Intelligent Vehicles Symposium (2017)
Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez, Stephen Gould
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation. CoRR (2017)
Jose M. Alvarez, Mathieu Salzmann
Compression-aware Training of Deep Networks. CoRR (2017)
Jose M. Alvarez, Mathieu Salzmann
Compression-aware Training of Deep Networks. NIPS (2017)
Mohammad Ali Armin, Nick Barnes, Jose M. Alvarez, Hongdong Li, Florian Grimpen, Olivier Salvado
Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN). CARE/CLIP@MICCAI (2017)
Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Jose M. Alvarez
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation. CoRR (2017)
Ronak Kosti, Jose M. Alvarez, Adrià Recasens, Àgata Lapedriza
Emotion Recognition in Context. CVPR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jose M. Alvarez