| 2023 | Dense Depth Estimation for Surgical Endoscope Robot with Multi-Baseline Depth Map Fusion. | Zhidong Tan, Rihui Song, Kai Huang |
| 2023 | Efficient Prediction of Model Transferability in Semantic Segmentation Tasks. | Yang Tan, Yicong Li, Yang Li, Xiao-Ping Zhang |
| 2023 | HER2-Sish Histopathology Image Classification Using Deep Neural Networks. | Choo Hui Tan, Wei Jie Lim, Wan Siti Halimatul Munirah Wan Ahmad, Lai-Kuan Wong, Zaka Ur Rehman, Lai-Meng Looi, Phaik-Leng Cheah, Toh Yen Fa, Mohammad Faizal Ahmad Fauzi |
| 2023 | Dataset-Level Directed Image Translation for Cross-Domain Crowd Counting. | Xin Tan, Hiroshi Ishikawa |
| 2023 | Curriculum Knowledge Switching for Pancreas Segmentation. | Yumou Tang, Kun Zhan, Zhibo Tian, Mingxuan Zhang, Saisai Wang, Xueming Wen |
| 2023 | Feature Fusion Enhanced Super Resolution for Low Bitrate Screen Content Compression. | Tong Tang, Xin Zhang, Zhidu Li, Jing Yang |
| 2023 | Cross-Inferential Networks for Source-Free Unsupervised Domain Adaptation. | Yushun Tang, Qinghai Guo, Zhihai He |
| 2023 | OOD Attack: Generating Overconfident out-of-Distribution Examples to Fool Deep Neural Classifiers. | Keke Tang, Xujian Cai, Weilong Peng, Shudong Li, Wenping Wang |
| 2023 | Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels. | Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly |
| 2023 | AAFACE: Attribute-Aware Attentional Network for Face Recognition. | Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Mohammad Akyash, Nasser M. Nasrabadi |
| 2023 | Multimodadl Graph Signal Denoising With Simultaneous Graph Learning using Deep Algorithm Unrolling. | Keigo Takanami, Yukihiro Bandoh, Seishi Takamura, Yuichi Tanaka |
| 2023 | JPEG Information Regularized Deep Image Prior for Denoising. | Tsukasa Takagi, Shinya Ishizaki, Shin-ichi Maeda |
| 2023 | Robust Feature Learning Against Noisy Labels. | Tsung-Ming Tai, Yun-Jie Jhang, Wen-Jyi Hwang |
| 2023 | OnDA-DETR: Online Domain Adaptation for Detection Transformers with Self-Training Framework. | Satoshi Suzuki, Taiga Yamane, Naoki Makishima, Keita Suzuki, Atsushi Ando, Ryo Masumura |
| 2023 | Cost-Efficient Multi-Instance Multi-Label Active Learning Via Correlation of Features. | Guoliang Su, Zhangquan Wu, Yujia Ye, Maoxing Chen, Jun Zhou |
| 2023 | Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing. | Yulin Su, Liangliang Shi, Ziming Feng, Pengzhi Chu, Junchi Yan |
| 2023 | Multiscale Representations Learning Transformer Framework for Point Cloud Classification. | Yajie Sun, Ali Zia, Jun Zhou |
| 2023 | Feature Enhancement and Fusion for RGB-T Salient Object Detection. | Fengming Sun, Kang Zhang, Xia Yuan, Chunxia Zhao |
| 2023 | An Efficient Deep Video Model For Deepfake Detection. | Ruipeng Sun, Ziyuan Zhao, Li Shen, Zeng Zeng, Yuxin Li, Bharadwaj Veeravalli, Xulei Yang |
| 2023 | Prompt Prototype Learning Based on Ranking Instruction For Few-Shot Visual Tasks. | Li Sun, Liuan Wang, Jun Sun, Takayuki Okatani |
| 2023 | Lightweight Multi-View-Group Neural Network for 3D Shape Classification. | Jiaqi Sun, Dongmei Niu, Na Lv, Wentao Dou, Jingliang Peng |
| 2023 | USGG: Union Message Based Scene Graph Generation. | Shiqi Sun, Danlan Huang, Zhijin Qin, Xiaoming Tao, Chengkang Pan, Guangyi Liu |
| 2023 | AFNet-M: Adaptive Fusion Network with Masks for 2D+3D Facial Expression Recognition. | Mingzhe Sui, Hanting Li, Zhaoqing Zhu, Feng Zhao |
| 2023 | Real-Time Supermarket Product Recognition on Mobile Devices Using Scalable Pipelines. | Julian Strohmayer, Martin Kampel |
| 2023 | Real-Time Wheel Detection and Rim Classification in Automotive Production. | Roman Stanek, Toms Kerepeck, Adam Novozmsk, Filip Sroubek, Barbara Zitov, Jan Flusser |