Boix, Xavier

19 publications

TMLR 2025 Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations Avi Cooper, Daniel Harari, Tomotake Sasaki, Spandan Madan, Hanspeter Pfister, Pawan Sinha, Xavier Boix

TMLR 2025 In-Distribution Adversarial Attacks on Object Recognition Models Using Gradient-Free Search. Spandan Madan, Tomotake Sasaki, Hanspeter Pfister, Tzu-Mao Li, Xavier Boix

TMLR 2025 Task Arithmetic Through the Lens of One-Shot Federated Learning Zhixu Tao, Ian Mason, Sanjeev Kulkarni, Xavier Boix

TMLR 2024 D3: Data Diversity Design for Systematic Generalization in Visual Question Answering Amir Rahimi, Vanessa D'Amario, Moyuru Yamada, Kentaro Takemoto, Tomotake Sasaki, Xavier Boix

NeurIPSW 2024 In-Distribution Adversarial Attacks on Object Recognition Models Using Gradient-Free Search. Spandan Madan, Tomotake Sasaki, Tzu-Mao Li, Hanspeter Pfister, Xavier Boix

AAAI 2021 Frivolous Units: Wider Networks Are Not Really That Wide Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman

NeurIPS 2021 How Modular Should Neural Module Networks Be for Systematic Generalization? Vanessa D'Amario, Tomotake Sasaki, Xavier Boix

ICLR 2019 Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix

AAAI 2017 Active Video Summarization: Customized Summaries via On-Line Interaction with the User Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan

CVPR 2016 Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent Anna Volokitin, Michael Gygli, Xavier Boix

ICCV 2015 SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks Xun Huang, Chengyao Shen, Xavier Boix, Qi Zhao

NeurIPS 2014 Self-Adaptable Templates for Feature Coding Xavier Boix, Gemma Roig, Salomon Diether, Luc V. Gool

ICCV 2013 Active MAP Inference in CRFs for Efficient Semantic Segmentation Gemma Roig, Xavier Boix, Roderick De Nijs, Sebastian Ramos, Koljia Kuhnlenz, Luc Van Gool

ICCV 2013 Online Video SEEDS for Temporal Window Objectness Michael Van Den Bergh, Gemma Roig, Xavier Boix, Santiago Manen, Luc Van Gool

CVPR 2013 Sparse Quantization for Patch Description Xavier Boix, Michael Gygli, Gemma Roig, Luc Van Gool

ECCV 2012 Nested Sparse Quantization for Efficient Feature Coding Xavier Boix, Gemma Roig, Christian Leistner, Luc Van Gool

ECCV 2012 SEEDS: Superpixels Extracted via Energy-Driven Sampling Michael Van den Bergh, Xavier Boix, Gemma Roig, Benjamin de Capitani, Luc Van Gool

ICCV 2011 Conditional Random Fields for Multi-Camera Object Detection Gemma Roig, Xavier Boix, Horesh Ben Shitrit, Pascal Fua

ICCVW 2009 Optimal Feature Selection for Subspace Image Matching Gemma Roig, Xavier Boix, Fernando De la Torre