← Authors

Jonathan Huang

34 papers · 2007–2025 · 11 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (18) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (12) 🌟 Keyword Trendsetter Combo (7) 🧬 Topic Evolution πŸ† Keyword Champion 🌱 Topic Pioneer πŸ‘₯ Mega-Team (31) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (144) πŸ’Ž Century Club (34) ❓ The Questioner πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer

Conferences

CVPR (8) ECCV (5) NIPS (5) ICCV (4) ICLR (3) INTERSPEECH (3) ICML (2) ACL (1) JMLR (1) NAACL (1) WACV (1)

Top co-authors

Kevin Murphy (8) Vivek Rathod (7) Leonidas Guibas (4) Tobias Bocklet (3) Carlos Guestrin (3) Sara Beery (3) Zhichao Lu (3) Saining Xie (2) Li Fei-fei (2) Sergio Guadarrama (2)

Research topics

Models (1) Probability (1) Education (1)

Keywords

object detection (4) recurrent neural network (3) permutation distribution (2) instance segmentation (2) generative model (2) graphical model (2) knowledge distillation (2) model compression (2) video understanding (2) fourier analysis (2) variational inference (2) fourier decomposition (2) attention mechanism (2) convolutional neural network (2) multimodal learning (2) probabilistic inference (2) weakly supervised learning (2) speaker recognition (2) probabilistic modeling (2) multi-person tracking (2)

Papers

Visually Consistent Hierarchical Image Classification ICLR 2025
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think ICLR 2025
Principles of Visual Tokens for Efficient Video Understanding ICCV 2025
Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition ECCV 2024
VideoPoet: A Large Language Model for Zero-Shot Video Generation ICML 2024
Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors ECCV 2024
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model NIPS 2023
PERF-Net: Pose Empowered RGB-Flow Net WACV 2022
The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift CVPR 2022
The Surprising Impact of Mask-Head Architecture on Novel Class Segmentation ICCV 2021
Length- and Noise-Aware Training Techniques for Short-Utterance Speaker Recognition INTERSPEECH 2020
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection CVPR 2020
RetinaTrack: Online Single Stage Joint Detection and Tracking CVPR 2020
Compact Speaker Embedding: lrx-Vector INTERSPEECH 2020
Diverse Generation for Multi-Agent Sports Games CVPR 2019
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference ICCV 2019
Intel Far-Field Speaker Recognition System for VOiCES Challenge 2019 INTERSPEECH 2019
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification ECCV 2018
Progressive Neural Architecture Search ECCV 2018
Multimodal Relational Tensor Network for Sentiment and Emotion Classification ACL 2018
Learning to Segment via Cut-and-Paste ECCV 2018
Generative Models of Visually Grounded Imagination ICLR 2018
Spatially Adaptive Computation Time for Residual Networks CVPR 2017
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors CVPR 2017
Detecting Events and Key Actors in Multi-Person Videos CVPR 2016
Generation and Comprehension of Unambiguous Object Descriptions CVPR 2016
Im2Calories: Towards an Automated Mobile Vision Food Diary ICCV 2015
Learning Program Embeddings to Propagate Feedback on Student Code ICML 2015
What’s Cookin’? Interpreting Cooking Videos using Text, Speech and Vision NAACL 2015
Deep Knowledge Tracing NIPS 2015
Probabilistic Event Cascades for Alzheimer's disease NIPS 2012
Fourier Theoretic Probabilistic Inference over Permutations JMLR 2009
Riffled Independence for Ranked Data NIPS 2009
Efficient Inference for Distributions on Permutations NIPS 2007