Stock Volatility Prediction Using Recurrent Neural Networks with Sentiment Analysis. - Yifan Liu 001; Zengchang Qin; Pengyu Li; Tao Wan 001 (IEA/AIE (1), 2017)

Logical Parsing from Natural Language Based on a Neural Translation Model. - Liang Li; Yifan Liu 001; Zengchang Qin; Pengyu Li; Tao Wan 001 (PACLING, 2017)

Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks. - Yifan Liu 001; Zengchang Qin; Zhenbo Luo; Hua Wang (CoRR, 2017)

Data Augmentation in Emotion Classification Using Generative Adversarial Networks. - Xinyue Zhu; Yifan Liu 001; Zengchang Qin; Jiahong Li (CoRR, 2017)

Emotion Classification with Data Augmentation Using Generative Adversarial Networks. - Xinyue Zhu; Yifan Liu 001; Jiahong Li; Tao Wan 001; Zengchang Qin (PAKDD (3), 2018)

Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks. - Yifan Liu 001; Zengchang Qin; Tao Wan 001; Zhenbo Luo (Neurocomputing, 2018)

Structured Knowledge Distillation for Semantic Segmentation. - Yifan Liu 001; Ke Chen; Chris Liu; Zengchang Qin; Zhenbo Luo; Jingdong Wang 001 (CVPR, 2019)

Pixel Level Data Augmentation for Semantic Image Segmentation Using Generative Adversarial Networks. - Shuangting Liu; Jiaqi Zhang; Yuxin Chen; Yifan Liu 001; Zengchang Qin; Tao Wan 001 (ICASSP, 2019)

Enforcing Geometric Constraints of Virtual Normal for Depth Prediction. - Wei Yin 006; Yifan Liu 001; Chunhua Shen; Youliang Yan (ICCV, 2019)

Training Compact Neural Networks via Auxiliary Overparameterization. - Yifan Liu 001; Bohan Zhuang; Chunhua Shen; Hao Chen 041; Wei Yin 006 (CoRR, 2019)

Instance-Aware Embedding for Point Cloud Instance Segmentation. - Tong He 001; Yifan Liu 001; Chunhua Shen; Xinlong Wang; Changming Sun (ECCV (30), 2020)

Efficient Semantic Video Segmentation with Per-Frame Inference. - Yifan Liu 001; Chunhua Shen; Changqian Yu; Jingdong Wang 001 (ECCV (10), 2020)

Representative Graph Neural Network. - Changqian Yu; Yifan Liu 001; Changxin Gao; Chunhua Shen; Nong Sang (ECCV (7), 2020)

DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data. - Wei Yin 006; Xinlong Wang; Chunhua Shen; Yifan Liu 001; Zhi Tian; Songcen Xu; Changming Sun; Dou Renyin (CoRR, 2020)

Channel-wise Distillation for Semantic Segmentation. - Changyong Shu; Yifan Liu 001; Jianfei Gao 002; Lin Xu; Chunhua Shen (CoRR, 2020)

MobileFAN: Transferring deep hidden representation for face alignment. - Yang Zhao 019; Yifan Liu 001; Chunhua Shen; Yongsheng Gao 001; Shengwu Xiong 001 (Pattern Recognit., 2020)

Generic Perceptual Loss for Modeling Structured Output Dependencies. - Yifan Liu 001; Hao Chen 041; Yu Chen 037; Wei Yin 006; Chunhua Shen (CVPR, 2021)

Channel-wise Knowledge Distillation for Dense Prediction*. - Changyong Shu; Yifan Liu 001; Jianfei Gao 002; Zheng Yan; Chunhua Shen (ICCV, 2021)

A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation*. - Jianlong Yuan; Yifan Liu 001; Chunhua Shen; Zhibin Wang 004; Hao Li 030 (ICCV, 2021)

A Generative Adversarial Framework For Optimizing Image Matting And Harmonization Simultaneously. - Xuqian Ren; Yifan Liu 001; Chunlei Song (ICIP, 2021)

Learning Structure Affinity for Video Depth Estimation. - Yuanzhouhan Cao; Yidong Li; Haokui Zhang; Chao Ren 002; Yifan Liu 001 (ACM Multimedia, 2021)

Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation. - Bowen Zhang 009; Yifan Liu 001; Zhi Tian; Chunhua Shen (NeurIPS, 2021)

A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation. - Jianlong Yuan; Yifan Liu 001; Chunhua Shen; Zhibin Wang 004; Hao Li 030 (CoRR, 2021)

Semantic-Guided Multi-mask Image Harmonization. - Xuqian Ren; Yifan Liu 001 (ECCV (37), 2022)

Controllable Shadow Generation Using Pixel Height Maps. - Yichen Sheng; Yifan Liu 001; Jianming Zhang 001; Wei Yin 006; A. Cengiz Öztireli; He Zhang 004; Zhe Lin 001; Eli Shechtman; Bedrich Benes (ECCV (23), 2022)

SegViT: Semantic Segmentation with Plain Vision Transformers. - Bowen Zhang 009; Zhi Tian; Quan Tang 001; Xiangxiang Chu; Xiaolin Wei; Chunhua Shen; Yifan Liu 001 (NeurIPS, 2022)

The devil is in the labels: Semantic segmentation from sentences. - Wei Yin 006; Yifan Liu 001; Chunhua Shen; Anton van den Hengel; Baichuan Sun (CoRR, 2022)

Efficient Video Segmentation Models with Per-frame Inference. - Yifan Liu 001; Chunhua Shen; Changqian Yu; Jingdong Wang 001 (CoRR, 2022)

FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation. - Jianlong Yuan; Qi Qian 001; Fei Du; Zhibin Wang 004; Fan Wang 019; Yifan Liu 001 (CoRR, 2022)

3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers. - Changyong Shu; Fisher Yu 001; Yifan Liu 001 (CoRR, 2022)

Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction. - Wei Yin 006; Yifan Liu 001; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. - Ziqin Zhou; Yinjie Lei; Bowen Zhang 009; Lingqiao Liu; Yifan Liu 001 (CVPR, 2023)

Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation. - Quan Tang 001; Bowen Zhang 009; Jiajun Liu; Fagui Liu; Yifan Liu 001 (ICCV, 2023)

Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. - Thomas E. Huang; Yifan Liu 001; Luc Van Gool; Fisher Yu 001 (ICCV, 2023)

3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection. - Changyong Shu; Jiajun Deng; Fisher Yu 001; Yifan Liu 001 (ICCV, 2023)

CTVIS: Consistent Training for Online Video Instance Segmentation. - Kaining Ying; Qing Zhong; Weian Mao; Zhenhua Wang 003; Hao Chen 041; Lin Yuanbo Wu; Yifan Liu 001; Chengxiang Fan; Yunzhi Zhuge; Chunhua Shen (ICCV, 2023)

SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. - Muzhi Zhu; Hengtao Li; Hao Chen 041; Chengxiang Fan; Weian Mao; Chenchen Jing; Yifan Liu 001; Chunhua Shen (ICCV, 2023)

BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset. - Biao Wu 006; Yutong Xie 001; Zeyu Zhang 006; Jinchao Ge; Kaspar Yaxley; Suzan Bahadir; Qi Wu 001; Yifan Liu 001; Minh-Son To (MLMI@MICCAI (1), 2023)

Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation. - Jianlong Yuan; Jinchao Ge; Zhibin Wang 004; Yifan Liu 001 (ACM Multimedia, 2023)

Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection. - Bingqing Zhang; Sen Wang 001; Yifan Liu 001; Brano Kusy; Xue Li 001; Jiajun Liu (ACM Multimedia, 2023)

Segment Anything in High Quality. - Lei Ke; Mingqiao Ye; Martin Danelljan; Yifan Liu 001; Yu-Wing Tai; Chi-Keung Tang; Fisher Yu 001 (NeurIPS, 2023)

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. - Haotong Qin; Yulun Zhang 001; Yifu Ding; Yifan Liu 001; Xianglong Liu 001; Martin Danelljan; Fisher Yu 001 (NeurIPS, 2023)

SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers. - Bowen Zhang 009; Liyang Liu; Minh-Hieu Phan; Zhi Tian; Chunhua Shen; Yifan Liu 001 (CoRR, 2023)

BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation. - Liyang Liu; Zihan Wang; Minh-Hieu Phan; Bowen Zhang 009; Yifan Liu 001 (CoRR, 2023)

Category Feature Transformer for Semantic Segmentation. - Quan Tang 001; Chuanjian Liu; Fagui Liu; Yifan Liu 001; Jun Jiang 003; Bowen Zhang 009; Kai Han 002; Yunhe Wang 001 (CoRR, 2023)

A Dynamic Feature Interaction Framework for Multi-task Visual Perception. - Yuling Xi; Hao Chen 041; Ning Wang 020; Peng Wang 015; Yanning Zhang 001; Chunhua Shen; Yifan Liu 001 (Int. J. Comput. Vis., 2023)

A Real-Time Memory Updating Strategy for Unsupervised Person Re-Identification. - Junhui Yin; Xinyu Zhang 015; Zhanyu Ma; Jun Guo 002; Yifan Liu 001 (IEEE Trans. Image Process., 2023)

Towards Accurate Reconstruction of 3D Scene Shape From A Single Monocular Image. - Wei Yin 006; Jianming Zhang 001; Oliver Wang; Simon Niklaus; Simon Chen; Yifan Liu 001; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Structured Knowledge Distillation for Dense Prediction. - Yifan Liu 001; Changyong Shu; Jingdong Wang 001; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion. - Bowen Zhang 009; Qing Liu 017; Jianming Zhang 001; Yilin Wang 002; Liyang Liu; Zhe Lin 001; Yifan Liu 001 (AAAI, 2024)

MambaDW: Semantic-Aware Mamba for Document Watermark Removal. - Yifan Liu 001; Mingfu Yan; He Hua; Jiancheng Huang; Shifeng Chen (CGI (1), 2024)

GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning. - Jiaxi Lv; Yi Huang 035; Mingfu Yan; Jiancheng Huang; Jianzhuang Liu; Yifan Liu 001; Yafei Wen; Xiaoxin Chen 001; Shifeng Chen (CVPR Workshops, 2024)

Robust Lightweight Depth Estimation Model via Data-Free Distillation. - Zihan Gao; Peng Gao; Wei Yin 006; Yifan Liu 001; Zengchang Qin (ICASSP, 2024)

Entwined Inversion: Tune-Free Inversion For Real Image Faithful Reconstruction and Editing. - Jiancheng Huang; Yifan Liu 001; Jiaxi Lv; Shifeng Chen (ICASSP, 2024)

ICGNet: A Unified Approach for Instance-Centric Grasping. - René Zurbrügg; Yifan Liu 001; Francis Engelmann; Suryansh Kumar 001; Marco Hutter 001; Vaishakh Patil; Fisher Yu 001 (ICRA, 2024)

BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation. - Liyang Liu; Zihan Wang; Minh Hieu Phan; Bowen Zhang 009; Jinchao Ge; Yifan Liu 001 (WACV, 2024)

SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers. - Bowen Zhang 009; Liyang Liu; Minh Hieu Phan; Zhi Tian; Chunhua Shen; Yifan Liu 001 (Int. J. Comput. Vis., 2024)

Scaling Up Multi-domain Semantic Segmentation with Sentence Embeddings. - Wei Yin 006; Yifan Liu 001; Chunhua Shen; Baichuan Sun; Anton van den Hengel (Int. J. Comput. Vis., 2024)

Dual-Schedule Inversion: Training- and Tuning-Free Inversion for Real Image Editing. - Jiancheng Huang; Yi Huang 035; Jianzhuang Liu; Donghao Zhou; Yifan Liu 001; Shifeng Chen (WACV, 2025)

Leveraging Contrast Information for Efficient Document Shadow Removal. - Yifan Liu 001; Jiancheng Huang; Na Liu; Mingfu Yan; Yi Huang 035; Shifeng Chen (CoRR, 2025)

Diffusion Model-Based Image Editing: A Survey. - Yi Huang 035; Jiancheng Huang; Yifan Liu 001; Mingfu Yan; Jiaxi Lv; Jianzhuang Liu; Wei Xiong 008; He Zhang 004; Liangliang Cao; Shifeng Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Component Adaptive Clustering for Generalized Category Discovery. - Mingfu Yan; Jiancheng Huang; Yifan Liu 001; Shifeng Chen (CoRR, 2025)

HumanRecon: Neural reconstruction of dynamic human using geometric cues and physical priors. - Junhui Yin; Wei Yin 006; Hao Chen 041; Xuqian Ren; Zhanyu Ma; Jun Guo 002; Yifan Liu 001 (Pattern Recognit., 2026)