← Authors

Zhuowen Tu

75 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (107) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (29) 🀝 Dynamic Duo (12) πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (11) πŸ† Grand Slam 🧬 Topic Evolution πŸ’Ž Century Club (75) ❓ The Questioner πŸ”₯ Unstoppable (14) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (303) ⚑ Prolific Year (11) πŸš€ Conference Pioneer

Conferences

CVPR (29) ICCV (16) ECCV (5) ICLR (4) NIPS (4) WACV (4) EMNLP (3) ICML (3) AAAI (2) AISTATS (2) ACL (1) IJCAI (1) IJCNLP (1)

Top co-authors

Stefano Soatto (12) Weijian Xu (10) Xiang Zhang (9) Yifan Xu (9) Zheng Ding (9) Zeyuan Chen (8) Saining Xie (5) Justin Lazarow (5) Mingze Xu (4) Zhaowei Cai (4)

Research topics

Techniques (1)

Keywords

image classification (9) convolutional neural network (7) diffusion model (6) generative model (6) instance segmentation (6) representation learning (5) transformer architecture (5) semi-supervised learning (4) object detection (4) multimodal learning (4) panoptic segmentation (4) knowledge distillation (4) vision transformer (3) scene understanding (3) self-supervised learning (3) image segmentation (3) image generation (3) 3d reconstruction (3) 3d vision (3) unsupervised learning (3)

Papers

Gaussian Swaying: Surface-Based Framework for Aerodynamic Simulation with 3D Gaussians WACV 2026
AuthGuard: Generalizable Deepfake Detection via Language Guidance WACV 2026
CVP: Central-Peripheral Vision-Inspired Multimodal Model for Spatial Reasoning WACV 2026
Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels CVPR 2025
DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion ICCV 2025
YOLO-Count: Differentiable Object Counting for Text-to-Image Generation ICCV 2025
Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers ICCV 2025
On the Scalability of Diffusion-based Text-to-Image Generation CVPR 2024
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data CVPR 2024
Non-autoregressive Sequence-to-Sequence Vision-Language Models CVPR 2024
TokenCompose: Text-to-Image Diffusion with Token-level Supervision CVPR 2024
Enhancing Vision-Language Pre-training with Rich Supervisions CVPR 2024
Bayesian Diffusion Models for 3D Shape Reconstruction CVPR 2024
Restoration by Generation with Constrained Priors CVPR 2024
Patched Denoising Diffusion Models For High-Resolution Image Synthesis ICLR 2024
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions AAAI 2024
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages EMNLP 2024
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models EMNLP 2024
Dolfin: Diffusion Layout Transformers without Autoencoder ECCV 2024
Open-World Dynamic Prompt and Continual Visual Representation Learning ECCV 2024
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing CVPR 2023
Guided Recommendation for Model Fine-Tuning CVPR 2023
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability ICCV 2023
MasQCLIP for Open-Vocabulary Universal Image Segmentation ICCV 2023
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction ICCV 2023
Object-Centric Multiple Object Tracking ICCV 2023
SkeleTR: Towards Skeleton-based Action Recognition in the Wild ICCV 2023
DocTr: Document Transformer for Structured Information Extraction in Documents ICCV 2023
Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction ICCV 2023
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning ICLR 2023
Open-Vocabulary Universal Image Segmentation with MaskCLIP ICML 2023
An In-depth Study of Stochastic Backpropagation NIPS 2022
X-DETR: A Versatile Architecture for Instance-Wise Vision-Language Tasks ECCV 2022
The Geometry of Multilingual Language Model Representations EMNLP 2022
Instance Segmentation With Mask-Supervised Polygonal Boundary Transformers CVPR 2022
Text Spotting Transformers CVPR 2022
MeMOT: Multi-Object Tracking With Memory CVPR 2022
Semi-supervised Vision Transformers at Scale NIPS 2022
ViTGAN: Training GANs with Vision Transformers ICLR 2022
Co-Scale Conv-Attentional Image Transformers ICCV 2021
Visual Relationship Detection Using Part-and-Sum Transformers With Composite Queries ICCV 2021
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning CVPR 2021
Attentional Constellation Nets for Few-Shot Learning ICLR 2021
Long Short-Term Transformer for Online Action Detection NIPS 2021
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models ACL 2021
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models IJCNLP 2021
Dual Contradistinctive Generative Autoencoder CVPR 2021
Line Segment Detection Using Transformers Without Edges CVPR 2021
Compatibility-Aware Heterogeneous Visual Search CVPR 2021
Pose Recognition With Cascade Transformers CVPR 2021
One-Pixel Signature: Characterizing CNN Models for Backdoor Detection ECCV 2020
Local Binary Pattern Networks WACV 2020
Guided Variational Autoencoder for Disentanglement Learning CVPR 2020
Recognizing Objects From Any View With Object and Viewer-Centered Representations CVPR 2020
Learning Instance Occlusion for Panoptic Segmentation CVPR 2020
3D Volumetric Modeling with Introspective Neural Networks AAAI 2019
Attentional ShapeContextNet for Point Cloud Recognition CVPR 2018
Wasserstein Introspective Neural Networks CVPR 2018
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification ECCV 2018
Deep Convolutional Neural Networks with Merge-and-Run Mappings IJCAI 2018
Deeply Supervised Salient Object Detection With Short Connections CVPR 2017
Aggregated Residual Transformations for Deep Neural Networks CVPR 2017
Introspective Neural Networks for Generative Modeling ICCV 2017
Introspective Classification with Convolutional Nets NIPS 2017
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree AISTATS 2016
Deeply-Supervised Nets AISTATS 2015
Holistically-Nested Edge Detection ICCV 2015
MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation CVPR 2014
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification ICCV 2013
Action Recognition with Actons ICCV 2013
Sparse Subspace Denoising for Image Manifolds CVPR 2013
Robust Estimation of Nonrigid Transformation for Point Set Registration CVPR 2013
Harvesting Mid-level Visual Concepts from Large-Scale Internet Images CVPR 2013
Max-Margin Multiple-Instance Dictionary Learning ICML 2013
Fixed-Point Model For Structured Labeling ICML 2013