Guiguang Ding

29

Papers

250

Total Citations

Papers (29)

One-dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications

YOLOE: Real-Time Seeing Anything

PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation

Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection

LSNet: See Large, Focus Small

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator

Geometry-Guided Domain Generalization for Monocular 3D Object Detection

Quantized Prompt for Efficient Generalization of Vision-Language Models

Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval

RepVGG: Making VGG-Style ConvNets Great Again

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality

Box-Level Active Detection

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting

Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification

Semantics-Preserving Hashing for Cross-View Retrieval

DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning

Debiased Novel Category Discovering and Localization

RepViT: Revisiting Mobile CNN From ViT Perspective

From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis

Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure

PANDA: A Gigapixel-Level Human-Centric Video Dataset

IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

Diverse Branch Block: Building a Convolution as an Inception-Like Unit

Approximated Oracle Filter Pruning for Destructive CNN Width Optimization