José M. Álvarez

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Object Detection

Top Venues

Publications

Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, José M. Álvarez
Step Out and Seek Around: On Warm-Start Training with Incremental Data. CoRR (2024)
Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez
Fully Attentional Networks with Self-emerging Token Labeling. CoRR (2024)
Renhao Wang, Zhiding Yu, Shiyi Lan, Enze Xie, Ke Chen, Anima Anandkumar, José M. Álvarez
SF3D: SlowFast Temporal 3D Object Detection. IV (2024)
Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint. CoRR (2024)
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 (2024)
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 (2024)
Barath Lakshmanan, Joshua Chen, Shiyi Lan, Maying Shen, Zhiding Yu, José M. Álvarez
Exploring Camera Encoder Designs for Autonomous Driving Perception. CoRR (2024)
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 (2024)
Hoang Chuong Nguyen, Tianyu Wang, José M. Álvarez, Miaomiao Liu
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation. CoRR (2024)
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 (2024)
Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. ICLR (2024)
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov
FasterViT: Fast Vision Transformers with Hierarchical Attention. ICLR (2024)
Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez
Improving Distant 3D Object Detection Using 2D Box Supervision. CoRR (2024)
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 (2023)
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)
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)
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 (2023)
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 (2023)
Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez
FB-BEV: BEV Representation from Forward-Backward View Transformations. CoRR (2023)
Shiyi Lan, Xitong Yang, Zhiding Yu, Zuxuan Wu, José M. Álvarez, Anima Anandkumar
Vision Transformers are Good Mask Auto-Labelers. CVPR (2023)
Zhenxin Li, Shiyi Lan, José M. Álvarez, Zuxuan Wu
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection. CoRR (2023)
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)
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)
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 (2023)
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)
Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, José M. Álvarez
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. CoRR (2023)
Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez
FB-BEV: BEV Representation from Forward-Backward View Transformations. ICCV (2023)
Jason Clemons, Iuri Frosio, Maying Shen, José M. Álvarez, Stephen W. Keckler
Augmenting Legacy Networks for Flexible Inference. IV (2023)
Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation. CoRR (2023)
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 (2023)
Kashyap Chitta, José M. Álvarez, Martial Hebert
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. WACV (2020)
Kashyap Chitta, José M. Álvarez, Martial Hebert
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. CoRR (2019)