← Authors

Serge Belongie

78 papers · 2013–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (103) 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (12) 🏠 Conference Loyalist (35) 🌟 Keyword Trendsetter Combo (9) πŸ”¬ Deep Specialist (12) 🀝 Dynamic Duo (10) πŸ† Keyword Champion (7) πŸ”₯ Unstoppable (13) ❓ The Questioner (3) πŸ’Ž Century Club (78) πŸ—ƒοΈ Keyword Collector (299) πŸš€ Conference Pioneer ⚑ Prolific Year (10) πŸ“ˆ Trend Setter

Conferences

CVPR (35) ECCV (11) ICCV (11) NIPS (7) EMNLP (4) ICLR (3) WACV (3) ICML (2) IJCNLP (1) NAACL (1)

Top co-authors

Yin Cui (10) Bharath Hariharan (10) Ser-Nam Lim (8) Guandao Yang (7) Grant Van Horn (7) Andreas Veit (7) Oisin Mac Aodha (7) Zekun Hao (6) Xun Huang (6) Pietro Perona (5)

Research topics

Computer Vision (1)

Keywords

fine-grained classification (7) convolutional neural network (7) representation learning (7) object detection (6) multimodal learning (6) self-supervised learning (4) generative model (4) image generation (4) data augmentation (3) variational inference (3) vision-language model (3) fine-grained categorization (3) feature extraction (3) multi-modal learning (3) large language model (3) unsupervised learning (2) metric learning (2) semantic segmentation (2) 3d vision (2) sentiment analysis (2)

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