World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
14583
World Ranking
8593
National Ranking
3679

Best Publications

  • SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

    Enze Xie;Wenhai Wang;Zhiding Yu;Anima Anandkumar

  • ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation

    Eduardo Romera;Jose M. Alvarez;Luis M. Bergasa;Roberto Arroyo

  • SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

    Enze Xie;Wenhai Wang;Zhiding Yu;Anima Anandkumar

  • Invertible Conditional GANs for image editing.

    Guim Perarnau;Joost van de Weijer;Bogdan Raducanu;Jose M. Álvarez

  • Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion

    Hongxu Yin;Pavlo Molchanov;Jose M. Alvarez;Zhizhong Li

  • See through Gradients: Image Batch Recovery via GradInversion

    Hongxu Yin;Arun Mallya;Arash Vahdat;Jose M. Alvarez

  • A-ViT: Adaptive Tokens for Efficient Vision Transformer

    Unknown

  • Cost Volume Pyramid Based Depth Inference for Multi-View Stereo.

    Unknown

  • Road Detection Based on Illuminant Invariance

    José M Álvarez Alvarez;Antonio M Ĺopez

  • Less is More: Towards Compact CNNs

    Hao Zhou;Jose M. Alvarez;Fatih Porikli;Fatih Porikli

  • Cost Volume Pyramid Based Depth Inference for Multi-View Stereo

    Unknown

  • Learning the Number of Neurons in Deep Networks

    Jose M. Alvarez;Mathieu Salzmann

  • Road scene segmentation from a single image

    Jose M. Alvarez;Theo Gevers;Yann LeCun;Antonio M. Lopez

  • Learning Image Matching by Simply Watching Video

    Gucan Long;Gucan Long;Laurent Kneip;Jose M. Alvarez;Jose M. Alvarez;Hongdong Li

  • Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers

    Unknown

  • Emotion Recognition in Context

    Ronak Kosti;Jose M. Alvarez;Adria Recasens;Agata Lapedriza

  • Compression-aware Training of Deep Networks

    Jose M. Alvarez;Mathieu Salzmann

  • Context Based Emotion Recognition Using EMOTIC Dataset

    Ronak Kosti;Jose M. Alvarez;Adria Recasens;Agata Lapedriza

  • Effective Use of Synthetic Data for Urban Scene Semantic Segmentation

    Fatemeh Sadat Saleh;Mohammad Sadegh Aliakbarian;Mathieu Salzmann;Lars Petersson

  • Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

    Fatemehsadat Saleh;Fatemehsadat Saleh;Mohammad Sadegh Aliakbarian;Mohammad Sadegh Aliakbarian;Mathieu Salzmann;Mathieu Salzmann;Lars Petersson;Lars Petersson

Frequent Co-Authors

Enze Xie
Enze Xie Nvidia (United States)

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