Belongie, Serge

67 publications

TMLR 2026 Better Language Models Exhibit Higher Visual Alignment Jona Ruthardt, Gertjan J. Burghouts, Serge Belongie, Yuki M Asano

CVPR 2025 Generalized Few-Shot 3D Point Cloud Segmentation with Vision-Language Model Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Junlin Han, Ender Konukoglu, Serge Belongie

ICCV 2025 Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy Yunchuan Guan, Yu Liu, Ke Zhou, Zhiqi Shen, Jenq-Neng Hwang, Serge Belongie, Lei Li

ICLR 2025 Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge Belongie

NeurIPS 2025 RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais, Serge Belongie, Anjan Dutta

NeurIPS 2025 Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot, Serge Belongie, Zeynep Akata

CVPR 2025 Taxonomy-Aware Evaluation of Vision-Language Models Vésteinn Snæbjarnarson, Kevin Du, Niklas Stoehr, Serge Belongie, Ryan Cotterell, Nico Lang, Stella Frank

ICLR 2025 Unlearning-Based Neural Interpretations Ching Lam Choi, Alexandre Duplessis, Serge Belongie

WACV 2024 Assessing Neural Network Robustness via Adversarial Pivotal Tuning Peter Ebert Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge Belongie, Sagie Benaim

ICML 2024 Coarse-to-Fine Tensor Trains for Compact Visual Representations Sebastian Bugge Loeschcke, Dan Wang, Christian Munklinde Leth-Espensen, Serge Belongie, Michael Kastoryano, Sagie Benaim

NeurIPSW 2024 Concept Denoising Score Matching for Responsible Text-to-Image Generation Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Serge Belongie, Muhammad Awais, Anjan Dutta

CVPR 2024 From Coarse to Fine-Grained Open-Set Recognition Nico Lang, Vésteinn Snæbjarnarson, Elijah Cole, Oisin Mac Aodha, Christian Igel, Serge Belongie

ECCV 2024 Labeled Data Selection for Category Discovery Bingchen Zhao, Nico Lang, Serge Belongie, Oisin Mac Aodha

ICMLW 2024 LoQT: Low Rank Adapters for Quantized Training Sebastian Bugge Loeschcke, Mads Toftrup, Michael Kastoryano, Serge Belongie, Vésteinn Snæbjarnarson

NeurIPS 2024 LoQT: Low-Rank Adapters for Quantized Pretraining Sebastian Loeschcke, Mads Toftrup, Michael J. Kastoryano, Serge Belongie, Vésteinn Snæbjarnarson

ECCV 2024 MMEarth: Exploring Multi-Modal Pretext Tasks for Geospatial Representation Learning Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge Belongie, Christian Igel, Nico Lang

DMLR 2024 NAFlora-1m: Continental-Scale High-Resolution Fine-Grained Plant Classification Dataset John Park, Riccardo de Lutio, Brendan Rappazzo, Barbara Ambrose, Fabian Michelangeli, Kimberly Watson, Serge Belongie, Damon Little

CVPR 2024 Rethinking Few-Shot 3D Point Cloud Semantic Segmentation Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge Belongie

WACV 2024 Volumetric Disentanglement for 3D Scene Manipulation Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge Belongie

ICCV 2023 Discriminative Class Tokens for Text-to-Image Diffusion Models Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer, Serge Belongie, Lior Wolf, Sagie Benaim

NeurIPS 2023 Learning to Taste: A Multimodal Wine Dataset Thoranna Bender, Simon Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge Belongie, Frederik Warburg

ECCV 2022 Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge Belongie

NeurIPS 2022 Implicit Neural Representations with Levels-of-Experts Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu

ICLR 2022 Language-Driven Semantic Segmentation Boyi Li, Kilian Q Weinberger, Serge Belongie, Vladlen Koltun, Rene Ranftl

ECCV 2022 On Label Granularity and Object Localization Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha

NeurIPS 2022 Polynomial Neural Fields for Subband Decomposition and Manipulation Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan Barron, Thomas Funkhouser, Bharath Hariharan, Serge Belongie

ECCV 2022 Visual Prompt Tuning Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim

CVPR 2022 When Does Contrastive Visual Representation Learning Work? Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge Belongie

CVPR 2021 Benchmarking Representation Learning for Natural World Image Collections Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge Belongie, Oisin Mac Aodha

ICCV 2021 Exploring Visual Engagement Signals for Representation Learning Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim

ICCV 2021 GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu

NeurIPS 2021 Geometry Processing with Neural Fields Guandao Yang, Serge Belongie, Bharath Hariharan, Vladlen Koltun

CVPR 2021 Intentonomy: A Dataset and Study Towards Human Intent Understanding Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim

CVPR 2021 On Feature Normalization and Data Augmentation Boyi Li, Felix Wu, Ser-Nam Lim, Serge Belongie, Kilian Q. Weinberger

ICCV 2021 Robustness and Generalization via Generative Adversarial Training Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge Belongie, Ser-Nam Lim

CVPR 2021 Spatiotemporal Contrastive Video Representation Learning Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge Belongie, Yin Cui

CVPR 2021 Stay Positive: Non-Negative Image Synthesis for Augmented Reality Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge Belongie

ECCV 2020 A Metric Learning Reality Check Kevin Musgrave, Serge Belongie, Ser-Nam Lim

ICML 2020 Differentiating Through the Fréchet Mean Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge Belongie, Ser-Nam Lim, Christopher De Sa

ECCV 2020 Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge Belongie

ECCV 2020 Learning Gradient Fields for Shape Generation Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan

WACV 2020 Neural Puppet: Generative Layered Cartoon Characters Omid Poursaeed, Vladimir Kim, Eli Shechtman, Jun Saito, Serge Belongie

NeurIPS 2019 Positional Normalization Boyi Li, Felix Wu, Kilian Q. Weinberger, Serge Belongie

ECCV 2018 Convolutional Networks with Adaptive Inference Graphs Andreas Veit, Serge Belongie

ECCV 2018 Learning Single-View 3D Reconstruction with Limited Pose Supervision Guandao Yang, Yin Cui, Serge Belongie, Bharath Hariharan

ECCV 2018 Multimodal Unsupervised Image-to-Image Translation Xun Huang, Ming-Yu Liu, Serge Belongie, Jan Kautz

ICCV 2017 Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization Xun Huang, Serge Belongie

ICCV 2017 BAM! the Behance Artistic Media Dataset for Recognition Beyond Photography Michael J. Wilber, Chen Fang, Hailin Jin, Aaron Hertzmann, John Collomosse, Serge Belongie

CVPR 2017 Conditional Similarity Networks Andreas Veit, Serge Belongie, Theofanis Karaletsos

CVPR 2017 Detecting Oriented Text in Natural Images by Linking Segments Baoguang Shi, Xiang Bai, Serge Belongie

CVPR 2017 Feature Pyramid Networks for Object Detection Tsung-Yi Lin, Piotr Dollar, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie

CVPR 2017 Kernel Pooling for Convolutional Neural Networks Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge Belongie

CVPR 2017 Learning from Noisy Large-Scale Datasets with Minimal Supervision Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge Belongie

CVPR 2017 Stacked Generative Adversarial Networks Xun Huang, Yixuan Li, Omid Poursaeed, John Hopcroft, Serge Belongie

CVPR 2016 Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop Yin Cui, Feng Zhou, Yuanqing Lin, Serge Belongie

CVPR 2016 Learning to Match Aerial Images with Deep Attentive Architectures Hani Altwaijry, Eduard Trulls, James Hays, Pascal Fua, Serge Belongie

NeurIPS 2016 Residual Networks Behave like Ensembles of Relatively Shallow Networks Andreas Veit, Michael J Wilber, Serge Belongie

CVPR 2015 Building a Bird Recognition App and Large Scale Dataset with Citizen Scientists: The Fine Print in Fine-Grained Dataset Collection Grant Van Horn, Steve Branson, Ryan Farrell, Scott Haber, Jessie Barry, Panos Ipeirotis, Pietro Perona, Serge Belongie

ICCV 2015 Learning Concept Embeddings with Combined Human-Machine Expertise Michael Wilber, Iljung S. Kwak, David Kriegman, Serge Belongie

CVPR 2015 Learning Deep Representations for Ground-to-Aerial Geolocalization Tsung-Yi Lin, Yin Cui, Serge Belongie, James Hays

ICCV 2015 Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences Andreas Veit, Balazs Kovacs, Sean Bell, Julian McAuley, Kavita Bala, Serge Belongie

CVPR 2014 Similarity Comparisons for Interactive Fine-Grained Categorization Catherine Wah, Grant Van Horn, Steve Branson, Subhransu Maji, Pietro Perona, Serge Belongie

CVPR 2013 Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop Catherine Wah, Serge Belongie

CVPR 2013 Cross-View Image Geolocalization Tsung-Yi Lin, Serge Belongie, James Hays

CVPR 2013 Efficient Large-Scale Structured Learning Steve Branson, Oscar Beijbom, Serge Belongie

AISTATS 2007 Generalized Non-Metric Multidimensional Scaling Sameer Agarwal, Josh Wills, Lawrence Cayton, Gert Lanckriet, David Kriegman, Serge Belongie

NeurIPS 2000 Shape Context: A New Descriptor for Shape Matching and Object Recognition Serge Belongie, Jitendra Malik, Jan Puzicha