Search Results - "Qin, Pengda"

FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models

Tong, Jintao, Jin, Wenwei, Qin, Pengda, Li, Anqi, Zou, Yixiong, Li, Yuhong, Li, Yuhua, Li, Ruixuan

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion

Zhao, Pancheng, Xu, Peng, Qin, Pengda, Fan, Deng-Ping, Zhang, Zhicheng, Jia, Guoli, Zhou, Bowen, Yang, Jufeng

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training

Ding, Muhe, Ma, Yang, Qin, Pengda, Wu, Jianlong, Li, Yuhong, Nie, Liqiang

Preview-based Category Contrastive Learning for Knowledge Distillation

Ding, Muhe, Wu, Jianlong, Dong, Xue, Li, Xiaojie, Qin, Pengda, Gan, Tian, Nie, Liqiang

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models

Pan, Xichen, Qin, Pengda, Li, Yuhong, Xue, Hui, Chen, Wenhu

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval

Deng, Chaorui, Chen, Qi, Qin, Pengda, Chen, Da, Wu, Qi

2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering

Qian, Zi, Wang, Xin, Duan, Xuguang, Qin, Pengda, Li, Yuhong, Zhu, Wenwu

2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models

Pan, Xichen, Qin, Pengda, Li, Yuhong, Xue, Hui, Chen, Wenhu

InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping

Liu, Runshi, Qin, Pengda, Li, Yuhong, Wen, Weigao, Li, Dong, Deng, Kefeng, Wu, Qiang

TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data

Qin, Pengda, Li, Yuhong, Deng, Kefeng, Wu, Qiang

Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs

Qin, Pengda, Wang, Xin, Chen, Wenhu, Zhang, Chunyun, Xu, Weiran, Wang, William Yang

Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization

Li, Siyao, Lei, Deren, Qin, Pengda, Wang, William Yang

Multi-Task Self-Supervised Learning for Disfluency Detection

Wang, Shaolei, Che, Wanxiang, Liu, Qi, Qin, Pengda, Liu, Ting, Wang, William Yang

Designing an adaptive attention mechanism for relation classification

Qin, Pengda, Xu, Weiran, Guo, Jun

2017 International Joint Conference on Neural Networks (IJCNN)

Fine-grained entity typing for knowledge base completion

Jia, Yidong, Xu, Weiran, Qin, Pengda, Bao, Zuyi

2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention

Chen, Wenhu, Chen, Jianshu, Qin, Pengda, Yan, Xifeng, Wang, William Yang

DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction

Qin, Pengda, Xu, Weiran, Wang, William Yang

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

Qin, Pengda, Xu, Weiran, Wang, William Yang

A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks

Qin, Pengda^Aff19, Xu, Weiran^Aff19, Guo, Jun^Aff19

Hutchison, David, Series editor^Aff1, Kanade, Takeo, Series editor^Aff2, Kittler, Josef, Series editor^Aff3, Kleinberg, Jon M., Series editor^Aff4, Mattern, Friedemann, Series editor^Aff5, Mitchell, John C., Series editor^Aff6, Naor, Moni, Series editor^Aff7, Pandu Rangan, C., Series editor^Aff8, Steffen, Bernhard, Series editor^Aff9, Terzopoulos, Demetri, Series editor^Aff10, Tygar, Doug, Series editor^Aff11, Weikum, Gerhard, Series editor^Aff12, Kim, Jinho, editor^Aff13, Shim, Kyuseok, editor^Aff14, Cao, Longbing, editor^Aff15, Lee, Jae-Gil, editor^Aff16, Lin, Xuemin, editor^Aff17, Moon, Yang-Sae, editor^Aff18

An empirical convolutional neural network approach for semantic relation classification

Qin, Pengda, Xu, Weiran, Guo, Jun