Dong Gong

30 papers · 2016–2026 · 7 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🐝 Cross-Pollinator (13) 🏃 Academic Marathon (9) 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)

🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (9) 🤝 Dynamic Duo (10) 🧬 Topic Evolution 💎 Century Club (29) 🚀 Conference Pioneer ❓ The Questioner ⚡ Prolific Year (8) 🗃️ Keyword Collector (115) 🔥 Unstoppable (10)

Conferences

CVPR (11) ICLR (6) ICCV (4) NIPS (4) ECCV (3) AAAI (1) IJCAI (1)

Top co-authors

Anton van den Hengel (10) Qinfeng Shi (8) Yuhang Liu (7) Javen Qinfeng Shi (6) Chunhua Shen (5) Yanning Zhang (5) Lina Yao (5) Kun Zhang (4) Mingming Gong (3) Saurav Jha (3)

Keywords

continual learning (5) semantic segmentation (3) catastrophic forgetting (3) knowledge distillation (2) representation learning (2) pre-trained model (2) vision-language model (2) zero-shot learning (2) distribution shift (2) variational inference (2) uncertainty estimation (2) domain adaptation (2) anomaly detection (1) image restoration (1) transfer learning (1) knowledge reuse (1) attention mechanism (1) benchmark evaluation (1) causal discovery (1) motion deblurring (1)

Papers

Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles AAAI 2026 DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling CVPR 2025 Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning CVPR 2025 Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation ICCV 2025 Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning IJCAI 2025 Coreset Selection via Reducible Loss in Continual Learning ICLR 2025 Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models ICLR 2025 D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation CVPR 2025 Analytic DAG Constraints for Differentiable DAG Learning ICLR 2025 Identifiable Latent Polynomial Causal Models through the Lens of Change ICLR 2024 CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models NIPS 2024 Learning with Mixture of Prototypes for Out-of-Distribution Detection ICLR 2024 Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes CVPR 2023 RanPAC: Random Projections and Pre-trained Models for Continual Learning NIPS 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning NIPS 2023 Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition ICLR 2023 Truncated Matrix Power Iteration for Differentiable DAG Learning NIPS 2022 Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022 Memory-Augmented Dynamic Neural Relational Inference ICCV 2021 Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation ECCV 2020 Knowledge Adaptation for Efficient Semantic Segmentation CVPR 2019 Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection ICCV 2019 Variational Bayesian Dropout With a Hierarchical Prior CVPR 2019 Attention-Guided Network for Ghost-Free High Dynamic Range Imaging CVPR 2019 RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion CVPR 2019 Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal ECCV 2018 Deblurring Natural Image Using Super-Gaussian Fields ECCV 2018 Self-Paced Kernel Estimation for Robust Blind Image Deblurring ICCV 2017 From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur CVPR 2017 Blind Image Deconvolution by Automatic Gradient Activation CVPR 2016