José M. Álvarez

216 papers A* 47A 10B 12C 7Journal 116Unranked 24
YearRankTypeTitle / Venue / Authors
2026 A* conf
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning.
AAAI
Wenhao Yao, Zhenxin Li, Shiyi Lan, Zi Wang, Xinglong Sun, José M. Álvarez, Zuxuan Wu
2026 J jnl
\textit{4DSurf}: High-Fidelity Dynamic Scene Surface Reconstruction.
CoRR
Renjie Wu, Hongdong Li, José M. Álvarez, Miaomiao Liu
2025 J jnl
AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training.
CoRR
Feiyang Kang, Nadine Chang, Maying Shen, Marc T. Law, Rafid Mahmood, Ruoxi Jia, José M. Álvarez
2025 A conf
Advancing Weight and Channel Sparsification with Enhanced Saliency.
WACV
Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, José M. Álvarez
2025 J jnl
Advancing Weight and Channel Sparsification with Enhanced Saliency.
CoRR
Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, José M. Álvarez
2025 J jnl
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training.
CoRR
Chonghao Sima, Kashyap Chitta, Zhiding Yu, Shiyi Lan, Ping Luo, Andreas Geiger, Hongyang Li, José M. Álvarez
2025 J jnl
ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation.
CoRR
Jay Zhangjie Wu, Xuanchi Ren, Tianchang Shen, Tianshi Cao, Kai He, Yifan Lu, Ruiyuan Gao, Enze Xie, Shiyi Lan, José M. Álvarez, Jun Gao, Sanja Fidler, Zian Wang, Huan Ling
2025 J jnl
Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control.
CoRR
Hassan Abu Alhaija, José M. Álvarez, Maciej Bala, Tiffany Cai, Tianshi Cao, Liz Cha, Joshua Chen, Mike Chen, Francesco Ferroni, Sanja Fidler, Dieter Fox, Yunhao Ge, Jinwei Gu, Ali Hassani, Michael Isaev, Pooya Jannaty, Shiyi Lan, Tobias Lasser, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Alice Luo, Qianli Ma, Hanzi Mao, Fabio Ramos, Xuanchi Ren, Tianchang Shen, Xinglong Sun, Shitao Tang, Ting-Chun Wang, Jay Zhangjie Wu, Jiashu Xu, Stella Xu, Kevin Xie, Yuchong Ye, Xiaodong Yang, Xiaohui Zeng, Yu Zeng
2025 J jnl
DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models.
CoRR
Jingyu Song, Zhenxin Li, Shiyi Lan, Xinglong Sun, Nadine Chang, Maying Shen, Joshua Chen, Katherine A. Skinner, José M. Álvarez
2025 J jnl
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning.
CoRR
Wenhao Yao, Zhenxin Li, Shiyi Lan, Zi Wang, Xinglong Sun, José M. Álvarez, Zuxuan Wu
2025 J jnl
Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models.
CoRR
Zhiqi Li, Guo Chen, Shilong Liu, Shihao Wang, Vibashan VS, Yishen Ji, Shiyi Lan, Hao Zhang, Yilin Zhao, Subhashree Radhakrishnan, Nadine Chang, Karan Sapra, Amala Sanjay Deshmukh, Tuomas Rintamaki, Matthieu Le, Ilia Karmanov, Lukas Voegtle, Philipp Fischer, De-An Huang, Timo Roman, Tong Lu, José M. Álvarez, Bryan Catanzaro, Jan Kautz, Andrew Tao, Guilin Liu, Zhiding Yu
2025 A conf
Enhancing Autonomous Driving Safety with Collision Scenario Integration.
IROS
Zi Wang, Shiyi Lan, Xinglong Sun, Nadine Chang, Zhenxin Li, Zhiding Yu, José M. Álvarez
2025 J jnl
Enhancing Autonomous Driving Safety with Collision Scenario Integration.
CoRR
Zi Wang, Shiyi Lan, Xinglong Sun, Nadine Chang, Zhenxin Li, Zhiding Yu, José M. Álvarez
2025 J jnl
Generalized Trajectory Scoring for End-to-end Multimodal Planning.
CoRR
Zhenxin Li, Wenhao Yao, Zi Wang, Xinglong Sun, Joshua Chen, Nadine Chang, Maying Shen, Zuxuan Wu, Shiyi Lan, José M. Álvarez
2025 J jnl
Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation.
CoRR
Kailin Li, Zhenxin Li, Shiyi Lan, Yuan Xie, Zhizhong Zhang, Jiayi Liu, Zuxuan Wu, Zhiding Yu, José M. Álvarez
2025 J jnl
Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training.
CoRR
Zhenxin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Zuxuan Wu, José M. Álvarez
2025 J jnl
IBGS: Image-Based Gaussian Splatting.
CoRR
Hoang Chuong Nguyen, Wei Mao, José M. Álvarez, Miaomiao Liu
2025 A* conf
Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video.
CVPR
Hoang Chuong Nguyen, Wei Mao, José M. Álvarez, Miaomiao Liu
2025 J jnl
Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video.
CoRR
Hoang Chuong Nguyen, Wei Mao, José M. Álvarez, Miaomiao Liu
2025 A* conf
MDP: Multidimensional Vision Model Pruning with Latency Constraint.
CVPR
Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez
2025 J jnl
MDP: Multidimensional Vision Model Pruning with Latency Constraint.
CoRR
Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez
2025 J jnl
Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection.
CoRR
Shan Wang, Maying Shen, Nadine Chang, Chuong Nguyen, Hongdong Li, José M. Álvarez
2025 A* conf
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.
CVPR
Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez
2025 J jnl
Optimizing Data Collection for Machine Learning.
J. Mach. Learn. Res.
Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law
2025 A* conf
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models.
CVPR
Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrés Bruhn, José M. Álvarez
2025 J jnl
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models.
CoRR
Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrés Bruhn, José M. Álvarez
2025 — conf
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation.
KDD (1)
Maying Shen, Nadine Chang, Sifei Liu, José M. Álvarez
2025 J jnl
VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding.
CoRR
Shihao Wang, Guo Chen, De-An Huang, Zhiqi Li, Minghan Li, Guilin Li, José M. Álvarez, Lei Zhang, Zhiding Yu
2025 J jnl
ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring.
CoRR
Zhenxin Li, Wenhao Yao, Zi Wang, Xinglong Sun, Jingde Chen, Nadine Chang, Maying Shen, Jingyu Song, Zuxuan Wu, Shiyi Lan, José M. Álvarez
2024 A* conf
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks.
ICLR
Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez
2024 A* conf
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection.
CVPR
Zhenxin Li, Shiyi Lan, José M. Álvarez, Zuxuan Wu
2024 J jnl
Exploring Camera Encoder Designs for Autonomous Driving Perception.
CoRR
Barath Lakshmanan, Joshua Chen, Shiyi Lan, Maying Shen, Zhiding Yu, José M. Álvarez
2024 A* conf
FasterViT: Fast Vision Transformers with Hierarchical Attention.
ICLR
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov
2024 J jnl
Fully Attentional Networks with Self-emerging Token Labeling.
CoRR
Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez
2024 J jnl
Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers.
CoRR
Alberto Gonzalo Rodriguez Salgado, Maying Shen, Philipp Harzig, Peter Mayer, José M. Álvarez
2024 J jnl
Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.
CoRR
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
2024 A* conf
Improving Distant 3D Object Detection Using 2D Box Supervision.
CVPR
Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez
2024 J jnl
Improving Distant 3D Object Detection Using 2D Box Supervision.
CoRR
Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez
2024 A* conf
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
CVPR
Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, José M. Álvarez
2024 A* conf
Memorize What Matters: Emergent Scene Decomposition from Multitraverse.
NeurIPS
Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez
2024 J jnl
Memorize What Matters: Emergent Scene Decomposition from Multitraverse.
CoRR
Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez
2024 A* conf
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation.
CVPR
Hoang Chuong Nguyen, Tianyu Wang, José M. Álvarez, Miaomiao Liu
2024 J jnl
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation.
CoRR
Hoang Chuong Nguyen, Tianyu Wang, José M. Álvarez, Miaomiao Liu
2024 J jnl
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint.
CoRR
Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez
2024 J jnl
OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning.
CoRR
Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez
2024 C conf
SF3D: SlowFast Temporal 3D Object Detection.
IV
Renhao Wang, Zhiding Yu, Shiyi Lan, Enze Xie, Ke Chen, Anima Anandkumar, José M. Álvarez
2024 J jnl
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation.
CoRR
Maying Shen, Nadine Chang, Sifei Liu, José M. Álvarez
2024 — conf
SegIC: Unleashing the Emergent Correspondence for In-Context Segmentation.
ECCV (38)
Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang
2024 J jnl
Step Out and Seek Around: On Warm-Start Training with Incremental Data.
CoRR
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, José M. Álvarez
2024 J jnl
StreamChat: Chatting with Streaming Video.
CoRR
Jihao Liu, Zhiding Yu, Shiyi Lan, Shihao Wang, Rongyao Fang, Jan Kautz, Hongsheng Li, José M. Álvarez
2024 J jnl
Uncertainty Estimation for 3D Object Detection via Evidential Learning.
CoRR
Nikita Durasov, Rafid Mahmood, Jiwoong Choi, Marc T. Law, James Lucas, Pascal Fua, José M. Álvarez
2024 — conf
What is Point Supervision Worth in Video Instance Segmentation?
CVPR Workshops
Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar
2024 J jnl
What is Point Supervision Worth in Video Instance Segmentation?
CoRR
Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar
2023 J jnl
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks.
CoRR
Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez
2023 C conf
Augmenting Legacy Networks for Flexible Inference.
IV
Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler
2023 J jnl
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection.
CoRR
Zhenxin Li, Shiyi Lan, José M. Álvarez, Zuxuan Wu
2023 A* conf
FB-BEV: BEV Representation from Forward-Backward View Transformations.
ICCV
Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez
2023 J jnl
FB-BEV: BEV Representation from Forward-Backward View Transformations.
CoRR
Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez
2023 J jnl
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.
CoRR
Zhiqi Li, Zhiding Yu, David Austin, Mingsheng Fang, Shiyi Lan, Jan Kautz, José M. Álvarez
2023 J jnl
FasterViT: Fast Vision Transformers with Hierarchical Attention.
CoRR
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov
2023 A* conf
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection.
ICCV
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, José M. Álvarez
2023 J jnl
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection.
CoRR
Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Animashree Anandkumar, Jiaya Jia, José M. Álvarez
2023 A* conf
Fully Attentional Networks with Self-emerging Token Labeling.
ICCV
Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez
2023 C conf
Hardware-Aware Latency Pruning for Real-Time 3D Object Detection.
IV
Maying Shen, Lei Mao, Joshua Chen, Justin Hsu, Xinglong Sun, Oliver Knieps, Carmen Maxim, José M. Álvarez
2023 J jnl
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
CoRR
Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, José M. Álvarez
2023 A* conf
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions.
CVPR
Shuxuan Guo, Yinlin Hu, José M. Álvarez, Mathieu Salzmann
2023 J jnl
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye View.
CoRR
Jiayu Yang, Enze Xie, Miaomiao Liu, José M. Álvarez
2023 A* conf
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View.
ICCV
Jiayu Yang, Enze Xie, Miaomiao Liu, José M. Álvarez
2023 J jnl
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation.
CoRR
Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang
2023 A* conf
Towards Viewpoint Robustness in Bird's Eye View Segmentation.
ICCV
Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez
2023 J jnl
Towards Viewpoint Robustness in Bird's Eye View Segmentation.
CoRR
Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez
2023 J jnl
Vision Transformers Are Good Mask Auto-Labelers.
CoRR
Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar
2023 A* conf
Vision Transformers are Good Mask Auto-Labelers.
CVPR
Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar
2023 A* conf
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion.
CVPR
Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar
2023 J jnl
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion.
CoRR
Yiming Li, Zhiding Yu, Christopher B. Choy, Chaowei Xiao, José M. Álvarez, Sanja Fidler, Chen Feng, Anima Anandkumar
2022 A* conf
A-ViT: Adaptive Tokens for Efficient Vision Transformer.
CVPR
Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov
2022 — conf
Augmenting Legacy Networks for Flexible Inference.
ECCV Workshops (7)
Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler
2022 J jnl
Capitalizing on RGB-FIR Hybrid Imaging for Road Detection.
IEEE Trans. Intell. Transp. Syst.
Yigong Zhang, Jin Xie, José M. Álvarez, Cheng-Zhong Xu, Jian Yang, Hui Kong
2022 J jnl
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu
2022 A* conf
FreeSOLO: Learning to Segment Objects without Annotations.
CVPR
Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez
2022 J jnl
FreeSOLO: Learning to Segment Objects without Annotations.
CoRR
Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez
2022 A* conf
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks.
CVPR
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
2022 J jnl
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks.
CoRR
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
2022 J jnl
Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment.
CoRR
Shuxuan Guo, Yinlin Hu, José M. Álvarez, Mathieu Salzmann
2022 J jnl
M
CoRR
Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, José M. Álvarez
2022 A* conf
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo.
CVPR
Jiayu Yang, José M. Álvarez, Miaomiao Liu
2022 J jnl
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo.
CoRR
Jiayu Yang, José M. Álvarez, Miaomiao Liu
2022 A* conf
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection.
CVPR
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez
2022 C conf
Object-Level Targeted Selection via Deep Template Matching.
IV
Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer
2022 J jnl
Object-Level Targeted Selection via Deep Template Matching.
CoRR
Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer
2022 A* conf
Optimizing Data Collection for Machine Learning.
NeurIPS
Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law
2022 J jnl
Optimizing Data Collection for Machine Learning.
CoRR
Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law
2022 A* conf
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers.
CVPR
Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo, Tong Lu
2022 A conf
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks.
BMVC
Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung
2022 — conf
Soft Masking for Cost-Constrained Channel Pruning.
ECCV (11)
Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez
2022 J jnl
Soft Masking for Cost-Constrained Channel Pruning.
CoRR
Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, José M. Álvarez
2022 A* conf
Structural Pruning via Latency-Saliency Knapsack.
NeurIPS
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez
2022 J jnl
Structural Pruning via Latency-Saliency Knapsack.
CoRR
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez
2022 J jnl
Training Data Subset Search With Ensemble Active Learning.
IEEE Trans. Intell. Transp. Syst.
Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet
2022 A* conf
Understanding The Robustness in Vision Transformers.
ICML
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, José M. Álvarez
2022 J jnl
Understanding The Robustness in Vision Transformers.
CoRR
Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, José M. Álvarez
2022 A* conf
When to Prune? A Policy towards Early Structural Pruning.
CVPR
Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez
2021 A* conf
Active Learning for Deep Object Detection via Probabilistic Modeling.
ICCV
Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez
2021 J jnl
Active Learning for Deep Object Detection via Probabilistic Modeling.
CoRR
Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez
2021 J jnl
AdaViT: Adaptive Tokens for Efficient Vision Transformer.
CoRR
Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov
2021 C conf
Boosting Supervised Learning Performance with Co-training.
IV
Xinnan Du, William Zhang, José M. Álvarez
2021 J jnl
Boosting Supervised Learning Performance with Co-training.
CoRR
Xinnan Du, William Zhang, José M. Álvarez
2021 A* conf
Contrastive Syn-to-Real Generalization.
ICLR
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar
2021 J jnl
Contrastive Syn-to-Real Generalization.
CoRR
Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar
2021 A conf
Data-free Knowledge Distillation for Object Detection.
WACV
Akshay Chawla, Hongxu Yin, Pavlo Molchanov, José M. Álvarez
2021 J jnl
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion.
CoRR
Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov
2021 A* conf
Distilling Image Classifiers in Object Detectors.
NeurIPS
Shuxuan Guo, José M. Álvarez, Mathieu Salzmann
2021 J jnl
Distilling Image Classifiers in Object Detectors.
CoRR
Shuxuan Guo, José M. Álvarez, Mathieu Salzmann
2021 J jnl
HALP: Hardware-Aware Latency Pruning.
CoRR
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, José M. Álvarez
2021 A* conf
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.
ICML
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, José M. Álvarez
2021 J jnl
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.
CoRR
Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Anima Anandkumar, Sanja Fidler, José M. Álvarez
2021 A* conf
Optimal Quantization Using Scaled Codebook.
CVPR
Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez
2021 J jnl
Panoptic SegFormer.
CoRR
Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Tong Lu, Ping Luo
2021 A* conf
Personalized Federated Learning with First Order Model Optimization.
ICLR
Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, José M. Álvarez
2021 A* conf
See Through Gradients: Image Batch Recovery via GradInversion.
CVPR
Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov
2021 J jnl
See through Gradients: Image Batch Recovery via GradInversion.
CoRR
Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov
2021 A* conf
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.
NeurIPS
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo
2021 J jnl
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.
CoRR
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo
2021 A* conf
Self-Supervised Learning of Depth Inference for Multi-View Stereo.
CVPR
Jiayu Yang, José M. Álvarez, Miaomiao Liu
2021 J jnl
Self-supervised Learning of Depth Inference for Multi-view Stereo.
CoRR
Jiayu Yang, José M. Álvarez, Miaomiao Liu
2021 J jnl
Towards Reducing Labeling Cost in Deep Object Detection.
CoRR
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez
2021 J jnl
When to Prune? A Policy towards Early Structural Pruning.
CoRR
Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez
2020 J jnl
Context Based Emotion Recognition Using EMOTIC Dataset.
IEEE Trans. Pattern Anal. Mach. Intell.
Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza
2020 J jnl
Context Based Emotion Recognition using EMOTIC Dataset.
CoRR
Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza
2020 A* conf
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo.
CVPR
Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu
2020 A* conf
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion.
CVPR
Hongxu Yin, Pavlo Molchanov, José M. Álvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
2020 A* conf
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks.
NeurIPS
Shuxuan Guo, José M. Álvarez, Mathieu Salzmann
2020 J jnl
Personalized Federated Learning with First Order Model Optimization.
CoRR
Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, José M. Álvarez
2020 A conf
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions.
WACV
Kashyap Chitta, José M. Álvarez, Martial Hebert
2020 C conf
Scalable Active Learning for Object Detection.
IV
Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez
2020 J jnl
Scalable Active Learning for Object Detection.
CoRR
Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez
2019 J jnl
An Illumination-Invariant Nonparametric Model for Urban Road Detection.
IEEE Trans. Intell. Veh.
Yingna Su, Yicheng Gao, Yigong Zhang, José M. Álvarez, Jian Yang, Hui Kong
2019 C conf
Bridging the Day and Night Domain Gap for Semantic Segmentation.
IV
Eduardo Romera, Luis Miguel Bergasa, Kailun Yang, José M. Álvarez, Rafael Barea
2019 J jnl
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo.
CoRR
Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu
2019 J jnl
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion.
CoRR
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, José M. Álvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
2019 J jnl
Integrating Dense LiDAR-Camera Road Detection Maps by a Multi-Modal CRF Model.
IEEE Trans. Veh. Technol.
Shuo Gu, Yigong Zhang, Jinhui Tang, Jian Yang, José M. Álvarez, Hui Kong
2019 J jnl
Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling.
CoRR
Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet
2019 J jnl
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions.
CoRR
Kashyap Chitta, José M. Álvarez, Martial Hebert
2019 A conf
Two-View Fusion based Convolutional Neural Network for Urban Road Detection.
IROS
Shuo Gu, Yigong Zhang, Jian Yang, José M. Álvarez, Hui Kong
2019 — conf
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks.
ICCV Workshops
Susan Gao, Xin Liu, Lung-Sheng Chien, William Zhang, José M. Álvarez
2019 J jnl
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks.
CoRR
Shuang Gao, Xin Liu, Lung-Sheng Chien, William Zhang, José M. Álvarez
2018 J jnl
3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection.
IEEE Trans. Intell. Veh.
Shuo Gu, Tao Lu, Yigong Zhang, José M. Álvarez, Jian Yang, Hui Kong
2018 J jnl
Curb Detection for Road and Sidewalk Detection.
IEEE Trans. Veh. Technol.
Mingmei Cheng, Yigong Zhang, Yingna Su, José M. Álvarez, Hui Kong
2018 J jnl
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization.
CoRR
Kashyap Chitta, José M. Álvarez, Adam Lesnikowski
2018 J jnl
ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst.
Eduardo Romera, José M. Álvarez, Luis Miguel Bergasa, Roberto Arroyo
2018 — conf
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation.
ECCV (2)
Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2018 J jnl
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation.
CoRR
Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2018 J jnl
ExpandNets: Exploiting Linear Redundancy to Train Small Networks.
CoRR
Shuxuan Guo, José M. Álvarez, Mathieu Salzmann
2018 J jnl
Expression-Invariant Age Estimation Using Structured Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhongyu Lou, Fares Alnajar, José M. Álvarez, Ninghang Hu, Theo Gevers
2018 J jnl
Frame selection for OCR from video stream of book flipping.
Multim. Tools Appl.
Dibyayan Chakraborty, Partha Pratim Roy, Rajkumar Saini, José M. Álvarez, Umapada Pal
2018 B conf
Fusion of LiDAR and Camera by Scanning in LiDAR Imagery and Image-Guided Diffusion for Urban Road Detection.
Intelligent Vehicles Symposium
Yigong Zhang, Shuo Gu, Jian Yang, José M. Álvarez, Hui Kong
2018 J jnl
Guest Editorial Introduction to the Special Issue on Robust and Efficient Vision Techniques for Intelligent Vehicles.
IEEE Trans. Intell. Transp. Syst.
Qi Wang, Luis Miguel Bergasa, José M. Álvarez
2018 J jnl
Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould
2018 J jnl
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles.
CoRR
Kashyap Chitta, José M. Álvarez, Adam Lesnikowski
2018 B conf
Train Here, Deploy There: Robust Segmentation in Unseen Domains.
Intelligent Vehicles Symposium
Eduardo Romera, Luis Miguel Bergasa, José M. Álvarez, Mohan M. Trivedi
2017 — conf
An illumination-invariant nonparametric model for urban road detection using monocular camera and single-line lidar.
ROBIO
Yingna Su, Yigong Zhang, José M. Álvarez, Hui Kong
2017 A* conf
Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation.
ICCV
Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2017 J jnl
Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation.
CoRR
Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez
2017 — conf
Compression-aware Training of Deep Networks.
NIPS
José M. Álvarez, Mathieu Salzmann
2017 J jnl
Compression-aware Training of Deep Networks.
CoRR
José M. Álvarez, Mathieu Salzmann
2017 A* conf
Domain-Adaptive Deep Network Compression.
ICCV
Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez
2017 J jnl
Domain-adaptive deep network compression.
CoRR
Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, José M. Álvarez
2017 — conf
EMOTIC: Emotions in Context Dataset.
CVPR Workshops
Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza
2017 B conf
Efficient ConvNet for real-time semantic segmentation.
Intelligent Vehicles Symposium
Eduardo Romera, José M. Álvarez, Luis Miguel Bergasa, Roberto Arroyo
2017 A* conf
Emotion Recognition in Context.
CVPR
Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza
2017 J jnl
Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation.
CoRR
Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould
2017 — conf
Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN).
CARE/CLIP@MICCAI
Mohammad Ali Armin, Nick Barnes, José M. Álvarez, Hongdong Li, Florian Grimpen, Olivier Salvado
2016 B conf
2D-3D semantic segmentation using cardinality as higher-order loss.
ICPR
Shahin Rahmatollahi Namin, José M. Álvarez, Lars Petersson
2016 — conf
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation.
ECCV (8)
Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez
2016 J jnl
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation.
CoRR
Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez
2016 J jnl
DecomposeMe: Simplifying ConvNets for End-to-End Learning.
CoRR
José M. Álvarez, Lars Petersson
2016 — conf
Efficient Framework for Action Recognition Using Reduced Fisher Vector Encoding.
CVIP (2)
Prithviraj Dhar, José M. Álvarez, Partha Pratim Roy
2016 A conf
Efficient transductive semantic segmentation.
WACV
José M. Álvarez, Mathieu Salzmann, Nick Barnes
2016 J jnl
Exploiting Large Image Sets for Road Scene Parsing.
IEEE Trans. Intell. Transp. Syst.
José M. Álvarez, Mathieu Salzmann, Nick Barnes
2016 J jnl
Invertible Conditional GANs for image editing.
CoRR
Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, José M. Álvarez
2016 B conf
Latent structural SVM with marginal probabilities for weakly labeled structured learning.
ICIP
Shahin Rahmatollahi Namin, José M. Álvarez, Laurent Kneip, Lars Petersson
2016 — conf
Learning Image Matching by Simply Watching Video.
ECCV (6)
Gucan Long, Laurent Kneip, José M. Álvarez, Hongdong Li, Xiaohu Zhang, Qifeng Yu
2016 J jnl
Learning Image Matching by Simply Watching Video.
CoRR
Gucan Long, Laurent Kneip, José M. Álvarez, Hongdong Li
2016 — conf
Learning the Number of Neurons in Deep Networks.
NIPS
José M. Álvarez, Mathieu Salzmann
2016 J jnl
Learning the Number of Neurons in Deep Networks.
CoRR
José M. Álvarez, Mathieu Salzmann
2016 J jnl
Motion Estimation via Robust Decomposition With Constrained Rank.
IEEE Trans. Intell. Veh.
Germán Ros, José M. Álvarez, Julio Guerrero
2016 J jnl
Semantic labeling for prosthetic vision.
Comput. Vis. Image Underst.
Lachlan Horne, José M. Álvarez, Chris McCarthy, Mathieu Salzmann, Nick Barnes
2015 B conf
Efficient scene parsing by sampling unary potentials in a fully-connected CRF.
Intelligent Vehicles Symposium
Lachlan Horne, José M. Álvarez, Mathieu Salzmann, Nick Barnes
2015 B conf
Unsupervised image transformation for outdoor semantic labelling.
Intelligent Vehicles Symposium
Germán Ros, José M. Álvarez
2014 J jnl
Combining Priors, Appearance, and Context for Road Detection.
IEEE Trans. Intell. Transp. Syst.
José M. Álvarez, Antonio M. López, Theo Gevers, Felipe Lumbreras
2014 A conf
Data-driven road detection.
WACV
José M. Álvarez, Mathieu Salzmann, Nick Barnes
2014 A conf
Expression-Invariant Age Estimation.
BMVC
Fares Alnajar, Zhongyu Lou, José M. Álvarez, Theo Gevers
2014 B conf
Fast road detection and tracking in aerial videos.
Intelligent Vehicles Symposium
Hailing Zhou, Hui Kong, José M. Álvarez, Douglas C. Creighton, Saeid Nahavandi
2014 A conf
Large-scale semantic co-labeling of image sets.
WACV
José M. Álvarez, Mathieu Salzmann, Nick Barnes
2014 J jnl
Motion Estimation via Robust Decomposition with Constrained Rank.
CoRR
Germán Ros, José M. Álvarez, Julio Guerrero
2014 J jnl
Road Detection by One-Class Color Classification: Dataset and Experiments.
CoRR
José M. Álvarez, Theo Gevers, Antonio M. López
2014 J jnl
Road Detection via On-line Label Transfer.
CoRR
José M. Álvarez, Ferran Diego, Joan Serrat, Antonio M. López
2013 — conf
Duplicate open page removal from video stream of book flipping.
NCVPRIPG
Dibyayan Chakraborty, Partha Pratim Roy, José M. Álvarez, Umapada Pal
2013 — conf
Evaluating Color Representations for On-Line Road Detection.
ICCV Workshops
José M. Álvarez, Theo Gevers, Antonio M. López
2013 B conf
Learning appearance models for road detection.
Intelligent Vehicles Symposium
José M. Álvarez, Mathieu Salzmann, Nick Barnes
2013 — conf
OCR from Video Stream of Book Flipping.
ACPR
Dibyayan Chakraborty, Partha Pratim Roy, José M. Álvarez, Umapada Pal
2013 J jnl
Road Geometry Classification by Adaptive Shape Models.
IEEE Trans. Intell. Transp. Syst.
José M. Álvarez, Theo Gevers, Ferran Diego, Antonio M. López
2012 — conf
Road Scene Segmentation from a Single Image.
ECCV (7)
José M. Álvarez, Theo Gevers, Yann LeCun, Antonio M. López
2012 — conf
Semantic Road Segmentation via Multi-scale Ensembles of Learned Features.
ECCV Workshops (2)
José M. Álvarez, Yann LeCun, Theo Gevers, Antonio M. López
2012 — conf
Understanding Road Scenes Using Visual Cues and GPS Information.
ECCV Workshops (3)
José M. Álvarez, Felipe Lumbreras, Antonio M. López, Theo Gevers
2011 J jnl
A New Framework for Stereo Sensor Pose Through Road Segmentation and Registration.
IEEE Trans. Intell. Transp. Syst.
Fadi Dornaika, José M. Álvarez, Angel Domingo Sappa, Antonio M. López
2011 J jnl
Road Detection Based on Illuminant Invariance.
IEEE Trans. Intell. Transp. Syst.
José M. Álvarez, Antonio M. López
2010 A* conf
3D Scene priors for road detection.
CVPR
José M. Álvarez, Theo Gevers, Antonio M. López
2010 B conf
Geographic information for vision-based road detection.
Intelligent Vehicles Symposium
José M. Álvarez, Felipe Lumbreras, Theo Gevers, Antonio M. López
2010 J jnl
Learning Photometric Invariance for Object Detection.
Int. J. Comput. Vis.
José M. Álvarez, Theo Gevers, Antonio M. López
2010 — conf
Vision-based road detection via on-line video registration.
ITSC
Ferran Diego, José M. Álvarez, Joan Serrat, Antonio M. López
2009 B conf
Automatic ground-truthing using video registration for on-board detection algorithms.
ICIP
José M. Álvarez, Ferran Diego, Antonio M. López, Joan Serrat, Daniel Ponsa
2009 A* conf
Learning photometric invariance from diversified color model ensembles.
CVPR
José M. Álvarez, Theo Gevers, Antonio M. López
2009 B conf
Vision-based road detection using road models.
ICIP
José M. Álvarez, Theo Gevers, Antonio M. López
2008 — conf
Novel Index for Objective Evaluation of Road Detection Algorithms.
ITSC
José M. Álvarez, Antonio M. López
2007 — conf
Shadow Resistant Road Segmentation from a Mobile Monocular System.
IbPRIA (2)
José M. Álvarez, Antonio M. López, Ramon Baldrich