Guo-Jun Qi

41 papers · 2015–2025 · 9 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10) 🌍 Conference Polyglot (9) 🗺️ Taxonomy Completionist (76)

🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🔬 Deep Specialist (11) 🏆 Grand Slam 🌱 Topic Pioneer 🧬 Topic Evolution 🏆 Keyword Champion (2) 🚀 Conference Pioneer 🔥 Unstoppable (11) 🗃️ Keyword Collector (199) 💎 Century Club (41) ⚡ Prolific Year (5)

Conferences

CVPR (18) ICCV (8) AAAI (4) ECCV (4) ICML (2) NIPS (2) CORL (1) ICLR (1) IJCAI (1)

Top co-authors

Jingdong Wang (6) Liheng Zhang (5) Ting Zhang (4) Qi Tian (3) Ce Zheng (3) Hongkai Xiong (3) Marzieh Edraki (3) Jinhui Tang (3) Hao Hu (3) Zhen Lei (3)

Research topics

Privacy (1)

Keywords

unsupervised learning (4) representation learning (3) image generation (3) recurrent neural network (3) diffusion model (3) model compression (3) generative adversarial network (3) long short-term memory (2) reinforcement learning (2) generative model (2) contrastive learning (2) human pose estimation (2) visual feature learning (2) convolutional neural network (2) image retrieval (2) self-supervised learning (2) adversarial learning (2) object detection (2) attention mechanism (2) efficient computing (2)

Papers

Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation CVPR 2025 DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making ICML 2025 Zero-shot High-fidelity and Pose-controllable Character Animation IJCAI 2024 Towards Open Domain Text-Driven Synthesis of Multi-Person Motions ECCV 2024 BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion AAAI 2024 One-Step Diffusion Distillation through Score Implicit Matching NIPS 2024 OmniMotionGPT: Animal Motion Generation with Limited Data CVPR 2024 High-Fidelity Clothed Avatar Reconstruction From a Single Image CVPR 2023 FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER CVPR 2023 POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery CVPR 2023 Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver ICCV 2023 Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search ICCV 2023 OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering CVPR 2023 Planning Paths through Occlusions in Urban Environments CORL 2022 Exploring Resolution and Degradation Clues As Self-Supervised Signal for Low Quality Object Detection ECCV 2022 Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning AAAI 2021 Knowledge-Enriched Distributional Model Inversion Attacks ICCV 2021 A Unified Multi-Scenario Attacking Network for Visual Object Tracking AAAI 2021 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021 Multitask AET With Orthogonal Tangent Regularity for Dark Object Detection ICCV 2021 Transformation GAN for Unsupervised Image Synthesis and Representation Learning CVPR 2020 Rotation Equivariant Graph Convolutional Network for Spherical Image Classification CVPR 2020 WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning CVPR 2020 GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations CVPR 2020 PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search ICLR 2020 AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations ICCV 2019 Few-Shot Image Recognition With Knowledge Transfer ICCV 2019 Task Agnostic Meta-Learning for Few-Shot Learning CVPR 2019 AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data CVPR 2019 Learning to Adaptively Scale Recurrent Neural Networks AAAI 2019 CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces NIPS 2018 Generalized Loss-Sensitive Adversarial Learning with Manifold Margins ECCV 2018 Interleaved Structured Sparse Convolutional Neural Networks CVPR 2018 Global Versus Localized Generative Adversarial Nets CVPR 2018 An Adversarial Approach to Hard Triplet Generation ECCV 2018 Interleaved Group Convolutions ICCV 2017 State-Frequency Memory Recurrent Neural Networks ICML 2017 Hierarchically Gated Deep Networks for Semantic Segmentation CVPR 2016 Supervised Quantization for Similarity Search CVPR 2016 Differential Recurrent Neural Networks for Action Recognition ICCV 2015 Sparse Composite Quantization CVPR 2015