Search Results for author: Pan Pan

Found 26 papers, 8 papers with code

Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization

no code implementations14 Oct 2022 Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan

While (Lu and Sa, 2021) have recently provided an optimal rate for non-convex stochastic decentralized optimization with weight matrices defined over linear graphs, the optimal rate with general weight matrices remains unclear.

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

1 code implementation CVPR 2022 Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Pan Pan, Yi Yang

To address this challenge, we propose Multi-View Consistent Generative Adversarial Networks (MVCGAN) for high-quality 3D-aware image synthesis with geometry constraints.

3D-Aware Image Synthesis

Disentangled Representation Learning for Text-Video Retrieval

2 code implementations14 Mar 2022 Qiang Wang, Yanhao Zhang, Yun Zheng, Pan Pan, Xian-Sheng Hua

Cross-modality interaction is a critical component in Text-Video Retrieval (TVR), yet there has been little examination of how different influencing factors for computing interaction affect performance.

Ranked #9 on Video Retrieval on MSR-VTT-1kA (using extra training data)

Representation Learning Retrieval +1

SEEG: Semantic Energized Co-Speech Gesture Generation

1 code implementation CVPR 2022 Yuanzhi Liang, Qianyu Feng, Linchao Zhu, Li Hu, Pan Pan, Yi Yang

Talking gesture generation is a practical yet challenging task which aims to synthesize gestures in line with speech.

Gesture Generation

Exponential Graph is Provably Efficient for Decentralized Deep Training

2 code implementations NeurIPS 2021 Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin

Experimental results on a variety of tasks and models demonstrate that decentralized (momentum) SGD over exponential graphs promises both fast and high-quality training.

Communicate Then Adapt: An Effective Decentralized Adaptive Method for Deep Training

no code implementations29 Sep 2021 Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Yingya Zhang, Pan Pan, Wotao Yin

Decentralized adaptive gradient methods, in which each node averages only with its neighbors, are critical to save communication and wall-clock training time in deep learning tasks.

Communication Efficient SGD via Gradient Sampling With Bayes Prior

no code implementations CVPR 2021 Liuyihan Song, Kang Zhao, Pan Pan, Yu Liu, Yingya Zhang, Yinghui Xu, Rong Jin

Different from all of them, we regard large and small gradients selection as the exploitation and exploration of gradient information, respectively.

Image Classification object-detection +2

OR-Net: Pointwise Relational Inference for Data Completion under Partial Observation

no code implementations2 May 2021 Qianyu Feng, Linchao Zhu, Bang Zhang, Pan Pan, Yi Yang

Specifically, we expect to approximate the real joint distribution over the partial observation and latent variables, thus infer the unseen targets respectively.

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training

1 code implementation ICCV 2021 Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin

Experimental results on a variety of computer vision tasks and models demonstrate that DecentLaM promises both efficient and high-quality training.

Multiple Object Tracking with Correlation Learning

no code implementations CVPR 2021 Qiang Wang, Yun Zheng, Pan Pan, Yinghui Xu

Recent works have shown that convolutional networks have substantially improved the performance of multiple object tracking by simultaneously learning detection and appearance features.

Multiple Object Tracking Object +1

Few-Shot Incremental Learning with Continually Evolved Classifiers

1 code implementation CVPR 2021 Chi Zhang, Nan Song, Guosheng Lin, Yun Zheng, Pan Pan, Yinghui Xu

First, we adopt a simple but effective decoupled learning strategy of representations and classifiers that only the classifiers are updated in each incremental session, which avoids knowledge forgetting in the representations.

Few-Shot Class-Incremental Learning Incremental Learning

Self-supervised Video Representation Learning by Context and Motion Decoupling

1 code implementation CVPR 2021 Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin

A key challenge in self-supervised video representation learning is how to effectively capture motion information besides context bias.

Action Recognition motion prediction +3

Large-Scale Visual Search with Binary Distributed Graph at Alibaba

no code implementations9 Feb 2021 Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin

For a deployed visual search system with several billions of online images in total, building a billion-scale offline graph in hours is essential, which is almost unachievable by most existing methods.

graph construction

Distribution Adaptive INT8 Quantization for Training CNNs

no code implementations9 Feb 2021 Kang Zhao, Sida Huang, Pan Pan, Yinghan Li, Yingya Zhang, Zhenyu Gu, Yinghui Xu

Researches have demonstrated that low bit-width (e. g., INT8) quantization can be employed to accelerate the inference process.

Image Classification object-detection +3

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning

no code implementations9 Feb 2021 Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin

However, scaling up the classification task from thousands of semantic labels to millions of instance labels brings specific challenges including 1) the large-scale softmax computation; 2) the slow convergence due to the infrequent visiting of instance samples; and 3) the massive number of negative classes that can be noisy.

Classification General Classification +1

Large Scale Long-tailed Product Recognition System at Alibaba

no code implementations9 Feb 2021 Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin

In this paper, we present a novel side information based large scale visual recognition co-training~(SICoT) system to deal with the long tail problem by leveraging the image related side information.

Object Recognition

Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance

no code implementations9 Feb 2021 Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin

Benefiting from exploration of user click data, our networks are more effective to encode richer supervision and better distinguish real-shot images in terms of category and feature.

Visual Search at Alibaba

no code implementations9 Feb 2021 Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin

We hope visual search at Alibaba becomes more widely incorporated into today's commercial applications.

Image Retrieval

Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image

no code implementations CVPR 2019 Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui

Given a single depth image, our method first goes through the 3D volume branch to obtain a volumetric scene reconstruction as a guide to the next view inpainting step, which attempts to make up the missing information; the third step involves projecting the volume under the same view of the input, concatenating them to complete the current view depth, and integrating all depth into the point cloud.

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