Serge Belongie
78 papers · 2013–2025 · 10 conferences · across top CS/AI conferences
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CVPR (35)
ECCV (11)
ICCV (11)
NIPS (7)
EMNLP (4)
ICLR (3)
WACV (3)
ICML (2)
IJCNLP (1)
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fine-grained classification
(7)
convolutional neural network
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representation learning
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object detection
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multimodal learning
(6)
self-supervised learning
(4)
generative model
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image generation
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data augmentation
(3)
variational inference
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vision-language model
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fine-grained categorization
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feature extraction
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multi-modal learning
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large language model
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unsupervised learning
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metric learning
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semantic segmentation
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Papers
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
CVPR 2025
Unlearning-based Neural Interpretations
ICLR 2025
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
ICLR 2025
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy
ICCV 2025
What if Othello-Playing Language Models Could See?
EMNLP 2025
Multi-Modal Framing Analysis of News
EMNLP 2025
Taxonomy-Aware Evaluation of Vision-Language Models
CVPR 2025
LoQT: Low-Rank Adapters for Quantized Pretraining
NIPS 2024
Coarse-To-Fine Tensor Trains for Compact Visual Representations
ICML 2024
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
ECCV 2024
Labeled Data Selection for Category Discovery
ECCV 2024
LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models
EMNLP 2024
Volumetric Disentanglement for 3D Scene Manipulation
WACV 2024
Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction
NAACL 2024
Rethinking Few-shot 3D Point Cloud Semantic Segmentation
CVPR 2024
From Coarse to Fine-Grained Open-Set Recognition
CVPR 2024
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
WACV 2024
Discriminative Class Tokens for Text-to-Image Diffusion Models
ICCV 2023
Learning to Taste: A Multimodal Wine Dataset
NIPS 2023
Language-driven Semantic Segmentation
ICLR 2022
Implicit Neural Representations with Levels-of-Experts
NIPS 2022
Polynomial Neural Fields for Subband Decomposition and Manipulation
NIPS 2022
When Does Contrastive Visual Representation Learning Work?
CVPR 2022
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
ECCV 2022
On Label Granularity and Object Localization
ECCV 2022
Visual Prompt Tuning
ECCV 2022
On Feature Normalization and Data Augmentation
CVPR 2021
Geometry Processing with Neural Fields
NIPS 2021
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
CVPR 2021
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
ICCV 2021
Exploring Visual Engagement Signals for Representation Learning
ICCV 2021
Robustness and Generalization via Generative Adversarial Training
ICCV 2021
Spatiotemporal Contrastive Video Representation Learning
CVPR 2021
Intentonomy: A Dataset and Study Towards Human Intent Understanding
CVPR 2021
Benchmarking Representation Learning for Natural World Image Collections
CVPR 2021
Neural Puppet: Generative Layered Cartoon Characters
WACV 2020
Differentiating through the FrΓ©chet Mean
ICML 2020
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
CVPR 2020
DualSDF: Semantic Shape Manipulation Using a Two-Level Representation
CVPR 2020
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
ECCV 2020
Learning Gradient Fields for Shape Generation
ECCV 2020
A Metric Learning Reality Check
ECCV 2020
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows
ICCV 2019
Neural Naturalist: Generating Fine-Grained Image Comparisons
IJCNLP 2019
Class-Balanced Loss Based on Effective Number of Samples
CVPR 2019
Positional Normalization
NIPS 2019
Neural Naturalist: Generating Fine-Grained Image Comparisons
EMNLP 2019
Enhancing Adversarial Example Transferability With an Intermediate Level Attack
ICCV 2019
Lean Multiclass Crowdsourcing
CVPR 2018
Controllable Video Generation With Sparse Trajectories
CVPR 2018
The INaturalist Species Classification and Detection Dataset
CVPR 2018
Separating Self-Expression and Visual Content in Hashtag Supervision
CVPR 2018
Multimodal Unsupervised Image-to-image Translation
ECCV 2018
Learning Single-View 3D Reconstruction with Limited Pose Supervision
ECCV 2018
Convolutional Networks with Adaptive Inference Graphs
ECCV 2018
DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
CVPR 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
CVPR 2018
Generative Adversarial Perturbations
CVPR 2018
Learning to Evaluate Image Captioning
CVPR 2018
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
ICCV 2017
Arbitrary Style Transfer in Real-Time With Adaptive Instance Normalization
ICCV 2017
Conditional Similarity Networks
CVPR 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
CVPR 2017
Feature Pyramid Networks for Object Detection
CVPR 2017
Detecting Oriented Text in Natural Images by Linking Segments
CVPR 2017
Kernel Pooling for Convolutional Neural Networks
CVPR 2017
Stacked Generative Adversarial Networks
CVPR 2017
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
NIPS 2016
Learning to Match Aerial Images With Deep Attentive Architectures
CVPR 2016
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning With Humans in the Loop
CVPR 2016
Learning Concept Embeddings With Combined Human-Machine Expertise
ICCV 2015
Learning Deep Representations for Ground-to-Aerial Geolocalization
CVPR 2015
Building a Bird Recognition App and Large Scale Dataset With Citizen Scientists: The Fine Print in Fine-Grained Dataset Collection
CVPR 2015
Learning Visual Clothing Style With Heterogeneous Dyadic Co-Occurrences
ICCV 2015
Similarity Comparisons for Interactive Fine-Grained Categorization
CVPR 2014
Cross-View Image Geolocalization
CVPR 2013
Efficient Large-Scale Structured Learning
CVPR 2013
Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop
CVPR 2013