Search

Search Results

• MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation

  Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu

  277-285

  2023-06-26

• Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild

  Jiayi Chen, Mi Yan, Jiazhao Zhang, Yinzhen Xu, Xiaolong Li, Yijia Weng, Li Yi, Shuran Song, He Wang

  304-312

  2023-06-26

• Domain-General Crowd Counting in Unseen Scenarios

  Zhipeng Du, Jiankang Deng, Miaojing Shi

  561-570

  2023-06-26

• DC-Former: Diverse and Compact Transformer for Person Re-identification

  Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu

  1415-1423

  2023-06-26

• CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection

  Xidong Peng, Xinge Zhu, Yuexin Ma

  2047-2055

  2023-06-26

• FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning

  Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen

  2101-2109

  2023-06-26

• Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement

  Mohamed Ali Souibgui, Sanket Biswas, Andres Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluis Gomez, Dimosthenis Karatzas

  2330-2338

  2023-06-26

• Defending Black-Box Skeleton-Based Human Activity Classifiers

  He Wang, Yunfeng Diao, Zichang Tan, Guodong Guo

  2546-2554

  2023-06-26

• SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud

  Yan Wang, Junbo Yin, Wei Li, Pascal Frossard, Ruigang Yang, Jianbing Shen

  2707-2715

  2023-06-26

• High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets

  Yanbo Wang, Chuming Lin, Donghao Luo, Ying Tai, Zhizhong Zhang, Yuan Xie

  2716-2723

  2023-06-26

• RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking

  Xue-Feng Zhu, Tianyang Xu, Zhangyong Tang, Zucheng Wu, Haodong Liu, Xiao Yang, Xiao-Jun Wu, Josef Kittler

  3870-3878

  2023-06-26

• Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning

  Zhiwen Zuo, Lei Zhao, Ailin Li, Zhizhong Wang, Zhanjie Zhang, Jiafu Chen, Wei Xing, Dongming Lu

  3888-3896

  2023-06-26

• A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving

  Rongzhen Ye, Tianqu Zhuang, Hai Wan, Jianfeng Du, Weilin Luo, Pingjia Liang

  4809-4817

  2023-06-26

• Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection

  Peter Henderson, Ben Chugg, Brandon Anderson, Kristen Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho

  5087-5095

  2023-06-26

• Contrastive Attention Networks for Attribution of Early Modern Print

  Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick

  5285-5293

  2023-06-26

• Don’t Predict Counterfactual Values, Predict Expected Values Instead

  Jeremiasz Wołosiuk, Maciej Świechowski, Jacek Mańdziuk

  5303-5311

  2023-06-26

• The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types

  Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan

  5983-5992

  2023-06-26

• Epistemic Disjunctive Datalog for Querying Knowledge Bases

  Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi

  6280-6288

  2023-06-26

• Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines

  Son N. Tran, Artur d'Avila Garcez

  6558-6565

  2023-06-26

• Offline Quantum Reinforcement Learning in a Conservative Manner

  Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao

  7148-7156

  2023-06-26

• Non-reversible Parallel Tempering for Deep Posterior Approximation

  Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin

  7332-7339

  2023-06-26

• Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation

  Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin

  7811-7820

  2023-06-26

• Estimating Regression Predictive Distributions with Sample Networks

  Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven Waslander, Liam Paull

  7830-7838

  2023-06-26

• Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning

  Jiechuan Jiang, Zongqing Lu

  8050-8059

  2023-06-26

• FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics

  Kai Klede, Leo Schwinn, Dario Zanca, Björn Eskofier

  8317-8324

  2023-06-26