← Authors

Jose M. Alvarez

53 papers · 2016–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (80) 🏠 Conference Loyalist (24) 🧬 Topic Evolution 🀝 Dynamic Duo (18) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (11) ❓ The Questioner (4) ⚑ Prolific Year (10) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (52) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (230)

Conferences

CVPR (24) ICCV (9) NIPS (8) ICLR (4) WACV (3) AAAI (2) ECCV (1) ICML (1) JMLR (1)

Top co-authors

Zhiding Yu (18) Anima Anandkumar (11) Pavlo Molchanov (9) Shiyi Lan (9) Hongxu Yin (9) Maying Shen (7) Jan Kautz (7) Mathieu Salzmann (7) Sanja Fidler (6) miaomiao Liu (6)

Research topics

Privacy (1) Core AI (1)

Keywords

model compression (11) depth estimation (8) object detection (8) semantic segmentation (7) self-supervised learning (5) network pruning (5) neural network optimization (5) knowledge distillation (5) neural network (5) autonomous driving (4) vision transformer (4) active learning (3) instance segmentation (3) 3d reconstruction (3) multi-view stereo (3) 3d object detection (3) neural scaling law (3) semi-supervised learning (2) bird's eye view (2) image classification (2)

Papers

DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning AAAI 2026
GHOST: Getting to the Bottom of Hallucinations with A Multi-round Consistency Benchmark WACV 2026
Advancing Weight and Channel Sparsification with Enhanced Saliency WACV 2025
Optimizing Data Collection for Machine Learning JMLR 2025
Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training ICCV 2025
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models CVPR 2025
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning CVPR 2025
Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video CVPR 2025
MDP: Multidimensional Vision Model Pruning with Latency Constraint CVPR 2025
FasterViT: Fast Vision Transformers with Hierarchical Attention ICLR 2024
Memorize What Matters: Emergent Scene Decomposition from Multitraverse NIPS 2024
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? CVPR 2024
Improving Distant 3D Object Detection Using 2D Box Supervision CVPR 2024
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection CVPR 2024
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation CVPR 2024
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks ICLR 2024
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View ICCV 2023
FocalFormer3D: Focusing on Hard Instance for 3D Object Detection ICCV 2023
Towards Viewpoint Robustness in Bird's Eye View Segmentation ICCV 2023
FB-BEV: BEV Representation from Forward-Backward View Transformations ICCV 2023
Fully Attentional Networks with Self-emerging Token Labeling ICCV 2023
Can We Trust Fair-AI? AAAI 2023
Vision Transformers Are Good Mask Auto-Labelers CVPR 2023
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions CVPR 2023
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion CVPR 2023
Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo CVPR 2022
Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection CVPR 2022
Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers CVPR 2022
When To Prune? A Policy Towards Early Structural Pruning CVPR 2022
A-ViT: Adaptive Tokens for Efficient Vision Transformer CVPR 2022
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks CVPR 2022
Optimizing Data Collection for Machine Learning NIPS 2022
Structural Pruning via Latency-Saliency Knapsack NIPS 2022
Understanding The Robustness in Vision Transformers ICML 2022
FreeSOLO: Learning To Segment Objects Without Annotations CVPR 2022
See Through Gradients: Image Batch Recovery via GradInversion CVPR 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers NIPS 2021
Self-Supervised Learning of Depth Inference for Multi-View Stereo CVPR 2021
Contrastive Syn-to-Real Generalization ICLR 2021
Personalized Federated Learning with First Order Model Optimization ICLR 2021
Active Learning for Deep Object Detection via Probabilistic Modeling ICCV 2021
Optimal Quantization Using Scaled Codebook CVPR 2021
Distilling Image Classifiers in Object Detectors NIPS 2021
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo CVPR 2020
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion CVPR 2020
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks NIPS 2020
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions WACV 2020
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation ECCV 2018
Bringing Background Into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation ICCV 2017
Compression-aware Training of Deep Networks NIPS 2017
Emotion Recognition in Context CVPR 2017
Domain-Adaptive Deep Network Compression ICCV 2017
Learning the Number of Neurons in Deep Networks NIPS 2016