1 citations · 2 across the 12 of their papers we have counts for
12 papers
Selective Coupling of Decoupled Informative Regions: Masked Attention Alignment for Data-Free Quantization of Vision Transformers
Biao Qian, Yang Wang, Yong Wu +1
Data-Free Quantization (DFQ) addresses data security concerns by synthesizing samples, without accessing real data. It has garnered increasing attention in the context of Vision Tr…
AI-T2I: Aggregating-and-Isolating Cross-Attention to Diffusion Models for Text-to-Image Synthesis
Shipeng Cao, Biao Qian, Haipeng Liu +2
Text-to-image synthesis has made significant progress, benefiting from the strong generative capabilities of diffusion models. However, these models struggle to achieve precise tex…
Mostly Text, Smart Visuals: Asymmetric Text-Visual Pruning for Large Vision-Language Models
Sijie Li, Biao Qian, Jungong Han
Network pruning is an effective technique for enabling lightweight Large Vision-Language Models (LVLMs), which primarily incorporates both weights and activations into the importan…
Thinking inside the Convolution for Image Inpainting: Reconstructing Texture via Structure under Global and Local Side
Haipeng Liu, Yang Wang, Biao Qian +2
Image inpainting has earned substantial progress, owing to the encoder-and-decoder pipeline, which is benefited from the Convolutional Neural Networks (CNNs) with convolutional dow…
Coarse-to-Fine Lightweight Meta-Embedding for ID-Based Recommendation
Yang Wang, Haipeng Liu, Zeqian Yi +2
The state-of-the-art recommendation systems have shifted the attention to efficient recommendation, e.g., on-device recommendation, under memory constraints. To this end, the exist…
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting
Haipeng Liu, Yang Wang, Biao Qian +2
Denoising diffusion probabilistic models for image inpainting aim to add the noise to the texture of image during the forward process and recover masked regions with unmasked ones…
Adaptive Data-Free Quantization
Biao Qian, Yang Wang, Richang Hong +1
Data-free quantization (DFQ) recovers the performance of quantized network (Q) without the original data, but generates the fake sample via a generator (G) by learning from full-pr…
Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis
Haoran Sun, Yang Wang, Haipeng Liu +1
Text-to-image synthesis refers to generating visual-realistic and semantically consistent images from given textual descriptions. Previous approaches generate an initial low-resolu…
Rethinking Data-Free Quantization as a Zero-Sum Game
Biao Qian, Yang Wang, Richang Hong +1
Data-free quantization (DFQ) recovers the performance of quantized network (Q) without accessing the real data, but generates the fake sample via a generator (G) by learning from f…
Switchable Online Knowledge Distillation
Biao Qian, Yang Wang, Hongzhi Yin +2
Online Knowledge Distillation (OKD) improves the involved models by reciprocally exploiting the difference between teacher and student. Several crucial bottlenecks over the gap bet…
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
Biao Qian, Yang Wang, Zhao Zhang +3
Deep convolutional neural networks have largely benefited computer vision tasks. However, the high computational complexity limits their real-world applications. To this end, many…
A Targeted Acceleration and Compression Framework for Low bit Neural Networks
Biao Qian, Yang Wang
1 bit deep neural networks (DNNs), of which both the activations and weights are binarized , are attracting more and more attention due to their high computational efficiency and l…