Search Results for author: Chunjie Zhang

Found 16 papers, 12 papers with code

Instructing Prompt-to-Prompt Generation for Zero-Shot Learning

no code implementations5 Jun 2024 Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao

Zero-shot learning (ZSL) aims to explore the semantic-visual interactions to discover comprehensive knowledge transferred from seen categories to classify unseen categories.

Domain Generalization Instruction Following +2

Textual Prompt Guided Image Restoration

1 code implementation11 Dec 2023 Qiuhai Yan, Aiwen Jiang, Kang Chen, Long Peng, Qiaosi Yi, Chunjie Zhang

In this paper, an effective textual prompt guided image restoration model has been proposed.

Denoising Image Restoration +1

CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation

1 code implementation14 Aug 2023 Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao

Regarding the growing nature of real-world data, such an offline training paradigm on ever-expanding data is unsustainable, because models lack the continual learning ability to accumulate knowledge constantly.

Continual Learning Continual Pretraining

You Can Mask More For Extremely Low-Bitrate Image Compression

1 code implementation27 Jun 2023 Anqi Li, Feng Li, Jiaxin Han, Huihui Bai, Runmin Cong, Chunjie Zhang, Meng Wang, Weisi Lin, Yao Zhao

Extensive experiments have demonstrated that our approach outperforms recent state-of-the-art methods in R-D performance, visual quality, and downstream applications, at very low bitrates.

Image Compression

Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning

1 code implementation CVPR 2023 Man Liu, Feng Li, Chunjie Zhang, Yunchao Wei, Huihui Bai, Yao Zhao

Generalized Zero-Shot Learning (GZSL) identifies unseen categories by knowledge transferred from the seen domain, relying on the intrinsic interactions between visual and semantic information.

Attribute Decoder +1

Causality-based CTR Prediction using Graph Neural Networks

no code implementations30 Jan 2023 Panyu Zhai, Yanwu Yang, Chunjie Zhang

This paper is dedicated to developing a causality-based CTR prediction model in the GNNs framework (Causal-GNN) integrating representations of feature graph, user graph and ad graph in the context of online advertising.

Causal Discovery Click-Through Rate Prediction +1

CTP:Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation

1 code implementation ICCV 2023 Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao

Regarding the growing nature of real-world data, such an offline training paradigm on ever-expanding data is unsustainable, because models lack the continual learning ability to accumulate knowledge constantly.

Continual Learning Continual Pretraining

Accelerate adversarial training with loss guided propagation for robust image classification

1 code implementation journal 2023 Changkai Xu, Chunjie Zhang, Yanwu Yang, Huaizhi Yang, Yijun Bo, Danyong Li, Riquan Zhang

In this work, we propose an efficient adversarial training method with loss guided propagation (ATLGP) to accelerate the adversarial training process.

Image Classification

An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions

2 code implementations CVPR 2023 Weijia Li, Saihui Hou, Chunjie Zhang, Chunshui Cao, Xu Liu, Yongzhen Huang, Yao Zhao

For the cloth-changing problem, video-based ReID is rarely studied due to the lack of a suitable cloth-changing benchmark, and gait recognition is often researched under controlled conditions.

16k Gait Recognition +1

Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow

1 code implementation CVPR 2021 Shangrong Yang, Chunyu Lin, Kang Liao, Chunjie Zhang, Yao Zhao

We embed a correction layer in skip-connection and leverage the appearance flows in different layers to pre-correct the image features.

Decoder

A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images

no code implementations2 Oct 2020 Chongyi Li, Runmin Cong, Chunle Guo, Hua Li, Chunjie Zhang, Feng Zheng, Yao Zhao

In this paper, we propose a novel Parallel Down-up Fusion network (PDF-Net) for SOD in optical RSIs, which takes full advantage of the in-path low- and high-level features and cross-path multi-resolution features to distinguish diversely scaled salient objects and suppress the cluttered backgrounds.

object-detection Object Detection +1

Two-Step Quantization for Low-Bit Neural Networks

1 code implementation CVPR 2018 Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng

In this paper, we propose a simple yet effective Two-Step Quantization (TSQ) framework, by decomposing the network quantization problem into two steps: code learning and transformation function learning based on the learned codes.

Quantization Vocal Bursts Valence Prediction

Body Joint guided 3D Deep Convolutional Descriptors for Action Recognition

no code implementations24 Apr 2017 Congqi Cao, Yifan Zhang, Chunjie Zhang, Hanqing Lu

To make it end-to-end and do not rely on any sophisticated body joint detection algorithm, we further propose a two-stream bilinear model which can learn the guidance from the body joints and capture the spatio-temporal features simultaneously.

Action Recognition Temporal Action Localization

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