← Authors

Dong Gong

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

Achievements

🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (55) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (9) 🀝 Dynamic Duo (10) 🧬 Topic Evolution πŸ’Ž Century Club (29) πŸš€ Conference Pioneer ❓ The Questioner ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (115) πŸ”₯ 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