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ORCIDJosé M. Álvarez 0004
José Manuel Álvarez 0001
Person information
- affiliation: NVIDIA, Santa Clara, CA, USA
- affiliation (former): Toyota Research Institute (TRI), Mountain View, CA, USA
- affiliation (former): CSIRO, Data61, Australia
- affiliation (former): NICTA, Computer Vision Research Laboratory, Canberra, ACT, Australia
- affiliation (former): New York University, Courant Institute of Mathematical Sciences, New York, NY, USA
- affiliation (former, PhD 2010): Autonomous University of Barcelona, Computer Vision Center, Barcelona, Spain
Other persons with the same name
- José M. Álvarez (aka: Jose M. Alvarez) — disambiguation page
- José María Álvarez 0001
![[0000-0003-1668-6054]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1668-6054")
(aka: José María Álvarez Rodríguez, José M. Álvarez 0001) — Carlos III University of Madrid, Spain - José M. Álvarez 0002 (aka: José Manuel Álvarez Colmenares) — Scuola Normale Superiore University of Pisa, Italy (and 1 more)
- José M. Álvarez 0003 — University of Málaga, Málaga, Spain
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2020 – today
- 2024
[i58]Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez:
Fully Attentional Networks with Self-emerging Token Labeling. CoRR abs/2401.03844 (2024)- [i57]Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez:
Improving Distant 3D Object Detection Using 2D Box Supervision. CoRR abs/2403.09230 (2024) - [i56]Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar:
What is Point Supervision Worth in Video Instance Segmentation? CoRR abs/2404.01990 (2024) - [i55]Hoang Chuong Nguyen, Tianyu Wang, José M. Álvarez, Miaomiao Liu:
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation. CoRR abs/2404.14908 (2024) - [i54]Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez:
OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning. CoRR abs/2405.01533 (2024) - [i53]Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez:
Memorize What Matters: Emergent Scene Decomposition from Multitraverse. CoRR abs/2405.17187 (2024) - [i52]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, José M. Álvarez:
Step Out and Seek Around: On Warm-Start Training with Incremental Data. CoRR abs/2406.04484 (2024) - [i51]Zhenxin Li, Kailin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Yishen Ji, Zhiqi Li, Ziyue Zhu, Jan Kautz, Zuxuan Wu, Yu-Gang Jiang, José M. Álvarez:
Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation. CoRR abs/2406.06978 (2024) - 2023
- [c68]Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar:
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion. CVPR 2023: 9087-9098 - [c67]Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar:
Vision Transformers are Good Mask Auto-Labelers. CVPR 2023: 23745-23755 - [c66]Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez:
Fully Attentional Networks with Self-emerging Token Labeling. ICCV 2023: 5562-5572 - [c65]Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez:
FB-BEV: BEV Representation from Forward-Backward View Transformations. ICCV 2023: 6896-6905 - [c64]Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, José M. Álvarez:
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. ICCV 2023: 8360-8371 - [c63]Jiayu Yang, Enze Xie, Miaomiao Liu, José M. Álvarez:
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View. ICCV 2023: 8449-8458 - [c62]Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez:
Towards Viewpoint Robustness in Bird's Eye View Segmentation. ICCV 2023: 8481-8490 - [c61]Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. IV 2023: 1-8 - [c60]Maying Shen, Lei Mao, Joshua Chen, Justin Hsu, Xinglong Sun, Oliver Knieps, Carmen Maxim, José M. Álvarez:
Hardware-Aware Latency Pruning for Real-Time 3D Object Detection. IV 2023: 1-6 - [i50]Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar:
Vision Transformers Are Good Mask Auto-Labelers. CoRR abs/2301.03992 (2023) - [i49]Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar:
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion. CoRR abs/2302.12251 (2023) - [i48]Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
FasterViT: Fast Vision Transformers with Hierarchical Attention. CoRR abs/2306.06189 (2023) - [i47]Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez:
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. CoRR abs/2306.14306 (2023) - [i46]Zhiqi Li, Zhiding Yu, David Austin, Mingsheng Fang, Shiyi Lan, Jan Kautz, José M. Álvarez:
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation. CoRR abs/2307.01492 (2023) - [i45]Jiayu Yang, Enze Xie, Miaomiao Liu, José M. Álvarez:
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye View. CoRR abs/2307.04106 (2023) - [i44]Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez:
FB-BEV: BEV Representation from Forward-Backward View Transformations. CoRR abs/2308.02236 (2023) - [i43]Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Animashree Anandkumar, Jiaya Jia, José M. Álvarez:
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. CoRR abs/2308.04556 (2023) - [i42]Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez:
Towards Viewpoint Robustness in Bird's Eye View Segmentation. CoRR abs/2309.05192 (2023) - [i41]Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang:
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation. CoRR abs/2311.14671 (2023) - [i40]Zhenxin Li, Shiyi Lan, José M. Álvarez, Zuxuan Wu:
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection. CoRR abs/2312.01696 (2023) - [i39]Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, José M. Álvarez:
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? CoRR abs/2312.03031 (2023) - 2022
- [j20]Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu:
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4748-4760 (2022) - [j19]Yigong Zhang, Jin Xie, José M. Álvarez, Cheng-Zhong Xu, Jian Yang, Hui Kong:
Capitalizing on RGB-FIR Hybrid Imaging for Road Detection. IEEE Trans. Intell. Transp. Syst. 23(8): 13819-13834 (2022) - [j18]Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet:
Training Data Subset Search With Ensemble Active Learning. IEEE Trans. Intell. Transp. Syst. 23(9): 14741-14752 (2022) - [c59]Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung:
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. BMVC 2022: 230 - [c58]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR 2022: 275-284 - [c57]Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo, Tong Lu:
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. CVPR 2022: 1270-1279 - [c56]Jiayu Yang, José M. Álvarez, Miaomiao Liu:
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo. CVPR 2022: 8616-8624 - [c55]Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
A-ViT: Adaptive Tokens for Efficient Vision Transformer. CVPR 2022: 10799-10808 - [c54]Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez:
When to Prune? A Policy towards Early Structural Pruning. CVPR 2022: 12237-12246 - [c53]Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez:
FreeSOLO: Learning to Segment Objects without Annotations. CVPR 2022: 14156-14166 - [c52]Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez:
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. CVPR 2022: 14472-14481 - [c51]Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler:
Augmenting Legacy Networks for Flexible Inference. ECCV Workshops (7) 2022: 84-98 - [c50]Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez:
Soft Masking for Cost-Constrained Channel Pruning. ECCV (11) 2022: 641-657 - [c49]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, José M. Álvarez:
Understanding The Robustness in Vision Transformers. ICML 2022: 27378-27394 - [c48]Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer:
Object-Level Targeted Selection via Deep Template Matching. IV 2022: 766-771 - [c47]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. NeurIPS 2022 - [c46]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
Structural Pruning via Latency-Saliency Knapsack. NeurIPS 2022 - [i38]Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez:
FreeSOLO: Learning to Segment Objects without Annotations. CoRR abs/2202.12181 (2022) - [i37]Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, José M. Álvarez:
M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. CoRR abs/2204.05088 (2022) - [i36]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, José M. Álvarez:
Understanding The Robustness in Vision Transformers. CoRR abs/2204.12451 (2022) - [i35]Jiayu Yang, José M. Álvarez, Miaomiao Liu:
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo. CoRR abs/2205.03783 (2022) - [i34]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR abs/2207.01725 (2022) - [i33]Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer:
Object-Level Targeted Selection via Deep Template Matching. CoRR abs/2207.01778 (2022) - [i32]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. CoRR abs/2210.01234 (2022) - [i31]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
Structural Pruning via Latency-Saliency Knapsack. CoRR abs/2210.06659 (2022) - [i30]Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez:
Soft Masking for Cost-Constrained Channel Pruning. CoRR abs/2211.02206 (2022) - 2021
- [c45]Jiayu Yang, José M. Álvarez, Miaomiao Liu:
Self-Supervised Learning of Depth Inference for Multi-View Stereo. CVPR 2021: 7526-7534 - [c44]Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez:
Optimal Quantization Using Scaled Codebook. CVPR 2021: 12095-12104 - [c43]Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
See Through Gradients: Image Batch Recovery via GradInversion. CVPR 2021: 16337-16346 - [c42]Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez:
Active Learning for Deep Object Detection via Probabilistic Modeling. ICCV 2021: 10244-10253 - [c41]Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar:
Contrastive Syn-to-Real Generalization. ICLR 2021 - [c40]Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, José M. Álvarez:
Personalized Federated Learning with First Order Model Optimization. ICLR 2021 - [c39]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, José M. Álvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. ICML 2021: 1463-1472 - [c38]Xinnan Du, William Zhang, José M. Álvarez:
Boosting Supervised Learning Performance with Co-training. IV 2021: 540-545 - [c37]Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo:
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. NeurIPS 2021: 12077-12090 - [c36]Akshay Chawla, Hongxu Yin, Pavlo Molchanov, José M. Álvarez:
Data-free Knowledge Distillation for Object Detection. WACV 2021: 3288-3297 - [i29]Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez:
Active Learning for Deep Object Detection via Probabilistic Modeling. CoRR abs/2103.16130 (2021) - [i28]Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar:
Contrastive Syn-to-Real Generalization. CoRR abs/2104.02290 (2021) - [i27]Jiayu Yang, José M. Álvarez, Miaomiao Liu:
Self-supervised Learning of Depth Inference for Multi-view Stereo. CoRR abs/2104.02972 (2021) - [i26]Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, José M. Álvarez:
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. CoRR abs/2104.05702 (2021) - [i25]Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
See through Gradients: Image Batch Recovery via GradInversion. CoRR abs/2104.07586 (2021) - [i24]Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo:
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. CoRR abs/2105.15203 (2021) - [i23]Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez:
Towards Reducing Labeling Cost in Deep Object Detection. CoRR abs/2106.11921 (2021) - [i22]Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. CoRR abs/2107.06304 (2021) - [i21]Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Tong Lu, Ping Luo:
Panoptic SegFormer. CoRR abs/2109.03814 (2021) - [i20]Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez:
HALP: Hardware-Aware Latency Pruning. CoRR abs/2110.10811 (2021) - [i19]Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez:
When to Prune? A Policy towards Early Structural Pruning. CoRR abs/2110.12007 (2021) - [i18]Xinnan Du, William Zhang, José M. Álvarez:
Boosting Supervised Learning Performance with Co-training. CoRR abs/2111.09797 (2021) - [i17]Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov:
AdaViT: Adaptive Tokens for Efficient Vision Transformer. CoRR abs/2112.07658 (2021) - 2020
- [j17]Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Context Based Emotion Recognition Using EMOTIC Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2755-2766 (2020) - [c35]Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu:
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. CVPR 2020: 4876-4885 - [c34]Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. CVPR 2020: 8712-8721 - [c33]Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez:
Scalable Active Learning for Object Detection. IV 2020: 1430-1435 - [c32]Kashyap Chitta, José M. Álvarez, Martial Hebert:
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. WACV 2020: 2009-2018 - [i16]Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Context Based Emotion Recognition using EMOTIC Dataset. CoRR abs/2003.13401 (2020) - [i15]Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez:
Scalable Active Learning for Object Detection. CoRR abs/2004.04699 (2020) - [i14]Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, José M. Álvarez:
Personalized Federated Learning with First Order Model Optimization. CoRR abs/2012.08565 (2020)
2010 – 2019
- 2019
- [j16]Yingna Su, Yicheng Gao, Yigong Zhang, José M. Álvarez, Jian Yang, Hui Kong:
An Illumination-Invariant Nonparametric Model for Urban Road Detection. IEEE Trans. Intell. Veh. 4(1): 14-23 (2019) - [j15]Shuo Gu, Yigong Zhang, Jinhui Tang, Jian Yang, José M. Álvarez, Hui Kong:
Integrating Dense LiDAR-Camera Road Detection Maps by a Multi-Modal CRF Model. IEEE Trans. Veh. Technol. 68(12): 11635-11645 (2019) - [c31]Susan Gao, Xin Liu, Lung-Sheng Chien, William Zhang, José M. Álvarez:
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks. ICCV Workshops 2019: 2980-2988 - [c30]Shuo Gu, Yigong Zhang, Jian Yang, José M. Álvarez, Hui Kong:
Two-View Fusion based Convolutional Neural Network for Urban Road Detection. IROS 2019: 6144-6149 - [c29]Eduardo Romera, Luis Miguel Bergasa, Kailun Yang, José M. Álvarez, Rafael Barea:
Bridging the Day and Night Domain Gap for Semantic Segmentation. IV 2019: 1312-1318 - [i13]Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet:
Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. CoRR abs/1905.12737 (2019) - [i12]Kashyap Chitta, José M. Álvarez, Martial Hebert:
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. CoRR abs/1907.11821 (2019) - [i11]Shuang Gao, Xin Liu, Lung-Sheng Chien, William Zhang, José M. Álvarez:
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks. CoRR abs/1909.04485 (2019) - [i10]Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu:
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. CoRR abs/1912.08329 (2019) - [i9]Hongxu Yin, Pavlo Molchanov, Zhizhong Li, José M. Álvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz:
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion. CoRR abs/1912.08795 (2019) - 2018
- [j14]Dibyayan Chakraborty, Partha Pratim Roy, Rajkumar Saini, José M. Álvarez, Umapada Pal:
Frame selection for OCR from video stream of book flipping. Multim. Tools Appl. 77(1): 985-1008 (2018) - [j13]Zhongyu Lou, Fares Alnajar, José M. Álvarez, Ninghang Hu, Theo Gevers:
Expression-Invariant Age Estimation Using Structured Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 365-375 (2018) - [j12]Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould:
Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1382-1396 (2018) - [j11]Qi Wang, Luis Miguel Bergasa, José M. Álvarez:
Guest Editorial Introduction to the Special Issue on Robust and Efficient Vision Techniques for Intelligent Vehicles. IEEE Trans. Intell. Transp. Syst. 19(1): 129-130 (2018) - [j10]Eduardo Romera, José M. Álvarez, Luis Miguel Bergasa, Roberto Arroyo:
ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 19(1): 263-272 (2018) - [j9]Shuo Gu, Tao Lu, Yigong Zhang, José M. Álvarez, 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): 351-360 (2018) - [j8]Mingmei Cheng, Yigong Zhang, Yingna Su, José M. Álvarez, Hui Kong:
Curb Detection for Road and Sidewalk Detection. IEEE Trans. Veh. Technol. 67(11): 10330-10342 (2018) - [c28]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. ECCV (2) 2018: 86-103 - [c27]Yigong Zhang, Shuo Gu, Jian Yang, José M. Álvarez, Hui Kong:
Fusion of LiDAR and Camera by Scanning in LiDAR Imagery and Image-Guided Diffusion for Urban Road Detection. Intelligent Vehicles Symposium 2018: 579-584 - [c26]Eduardo Romera, Luis Miguel Bergasa, José M. Álvarez, Mohan M. Trivedi:
Train Here, Deploy There: Robust Segmentation in Unseen Domains. Intelligent Vehicles Symposium 2018: 1828-1833 - [i8]Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. CoRR abs/1807.06132 (2018) - [i7]Kashyap Chitta, José M. Álvarez, Adam Lesnikowski:
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization. CoRR abs/1811.02640 (2018) - [i6]Kashyap Chitta, José M. Álvarez, Adam Lesnikowski:
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles. CoRR abs/1811.03575 (2018) - 2017
- [c25]Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Emotion Recognition in Context. CVPR 2017: 1960-1968 - [c24]Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
EMOTIC: Emotions in Context Dataset. CVPR Workshops 2017: 2309-2317 - [c23]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez:
Domain-Adaptive Deep Network Compression. ICCV 2017: 4299-4307 - [c22]Eduardo Romera, José M. Álvarez, Luis Miguel Bergasa, Roberto Arroyo:
Efficient ConvNet for real-time semantic segmentation. Intelligent Vehicles Symposium 2017: 1789-1794 - [c21]Yingna Su, Yigong Zhang, José M. Álvarez, Hui Kong:
An illumination-invariant nonparametric model for urban road detection using monocular camera and single-line lidar. ROBIO 2017: 68-73 - [i5]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez:
Domain-adaptive deep network compression. CoRR abs/1709.01041 (2017) - 2016
- [j7]José M. Álvarez, Mathieu Salzmann, Nick Barnes:
Exploiting Large Image Sets for Road Scene Parsing. IEEE Trans. Intell. Transp. Syst. 17(9): 2456-2465 (2016) - [j6]Germán Ros, José M. Álvarez, Julio Guerrero:
Motion Estimation via Robust Decomposition With Constrained Rank. IEEE Trans. Intell. Veh. 1(4): 346-357 (2016) - [c20]Prithviraj Dhar, José M. Álvarez, Partha Pratim Roy:
Efficient Framework for Action Recognition Using Reduced Fisher Vector Encoding. CVIP (2) 2016: 343-354 - [i4]Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, José M. Álvarez:
Invertible Conditional GANs for image editing. CoRR abs/1611.06355 (2016) - 2015
- [c19]Germán Ros, José M. Álvarez:
Unsupervised image transformation for outdoor semantic labelling. Intelligent Vehicles Symposium 2015: 537-542 - 2014
- [j5]José M. Álvarez, Antonio M. López, Theo Gevers, Felipe Lumbreras:
Combining Priors, Appearance, and Context for Road Detection. IEEE Trans. Intell. Transp. Syst. 15(3): 1168-1178 (2014) - [c18]Fares Alnajar, Zhongyu Lou, José M. Álvarez, Theo Gevers:
Expression-Invariant Age Estimation. BMVC 2014 - [c17]Hailing Zhou, Hui Kong, José M. Álvarez, Douglas C. Creighton, Saeid Nahavandi:
Fast road detection and tracking in aerial videos. Intelligent Vehicles Symposium 2014: 712-718 - [i3]Germán Ros, José M. Álvarez, Julio Guerrero:
Motion Estimation via Robust Decomposition with Constrained Rank. CoRR abs/1410.6126 (2014) - [i2]José M. Álvarez, Ferran Diego, Joan Serrat, Antonio M. López:
Road Detection via On-line Label Transfer. CoRR abs/1412.3159 (2014) - [i1]José M. Álvarez, Theo Gevers, Antonio M. López:
Road Detection by One-Class Color Classification: Dataset and Experiments. CoRR abs/1412.3506 (2014) - 2013
- [j4]José M. Álvarez, Theo Gevers, Ferran Diego, Antonio M. López:
Road Geometry Classification by Adaptive Shape Models. IEEE Trans. Intell. Transp. Syst. 14(1): 459-468 (2013) - [c16]Dibyayan Chakraborty, Partha Pratim Roy, José M. Álvarez, Umapada Pal:
OCR from Video Stream of Book Flipping. ACPR 2013: 130-134 - [c15]José M. Álvarez, Theo Gevers, Antonio M. López:
Evaluating Color Representations for On-Line Road Detection. ICCV Workshops 2013: 594-599 - [c14]Dibyayan Chakraborty, Partha Pratim Roy, José M. Álvarez, Umapada Pal:
Duplicate open page removal from video stream of book flipping. NCVPRIPG 2013: 1-4 - 2012
- [c13]José M. Álvarez, Theo Gevers, Yann LeCun, Antonio M. López:
Road Scene Segmentation from a Single Image. ECCV (7) 2012: 376-389 - [c12]José M. Álvarez, Yann LeCun, Theo Gevers, Antonio M. López:
Semantic Road Segmentation via Multi-scale Ensembles of Learned Features. ECCV Workshops (2) 2012: 586-595 - [c11]José M. Álvarez, Felipe Lumbreras, Antonio M. López, Theo Gevers:
Understanding Road Scenes Using Visual Cues and GPS Information. ECCV Workshops (3) 2012: 635-638 - 2011
- [j3]José M. Álvarez, Antonio M. López:
Road Detection Based on Illuminant Invariance. IEEE Trans. Intell. Transp. Syst. 12(1): 184-193 (2011) - [j2]Fadi Dornaika, José M. Álvarez, Angel Domingo Sappa, Antonio M. López:
A New Framework for Stereo Sensor Pose Through Road Segmentation and Registration. IEEE Trans. Intell. Transp. Syst. 12(4): 954-966 (2011) - 2010
- [j1]José M. Álvarez, Theo Gevers, Antonio M. López:
Learning Photometric Invariance for Object Detection. Int. J. Comput. Vis. 90(1): 45-61 (2010) - [c10]José M. Álvarez, Theo Gevers, Antonio M. López:
3D Scene priors for road detection. CVPR 2010: 57-64 - [c9]Ferran Diego, José M. Álvarez, Joan Serrat, Antonio M. López:
Vision-based road detection via on-line video registration. ITSC 2010: 1135-1140 - [c8]José M. Álvarez, Felipe Lumbreras, Theo Gevers, Antonio M. López:
Geographic information for vision-based road detection. Intelligent Vehicles Symposium 2010: 621-626
2000 – 2009
- 2009
- [c7]José M. Álvarez, Theo Gevers, Antonio M. López:
Learning photometric invariance from diversified color model ensembles. CVPR 2009: 565-572 - [c6]José M. Álvarez, Theo Gevers, Antonio M. López:
Vision-based road detection using road models. ICIP 2009: 2073-2076 - [c5]José M. Álvarez, Ferran Diego, Antonio M. López, Joan Serrat, Daniel Ponsa:
Automatic ground-truthing using video registration for on-board detection algorithms. ICIP 2009: 4389-4392 - 2008
- [c4]José M. Álvarez, Antonio M. López:
Novel Index for Objective Evaluation of Road Detection Algorithms. ITSC 2008: 815-820 - 2007
- [c3]José M. Álvarez, Antonio M. López, Ramon Baldrich:
Shadow Resistant Road Segmentation from a Mobile Monocular System. IbPRIA (2) 2007: 9-16 - [c2]Joan Serrat, Ferran Diego, Felipe Lumbreras, José Manuel Álvarez:
Synchronization of Video Sequences from Free-Moving Cameras. IbPRIA (2) 2007: 620-627 - [c1]Joan Serrat, Ferran Diego, Felipe Lumbreras, José Manuel Álvarez:
Alignment of videos recorded from moving vehicles. ICIAP 2007: 512-517
Coauthor Index
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