AAAI

Publications

2024

Size Wu, Wenwei Zhang, Lumin Xu, Sheng Jin, Wentao Liu, Chen Change Loy
CLIM: Contrastive Language-Image Mosaic for Region Representation. AAAI (2024)
Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar
ESG Accountability Made Easy: DocQA at Your Service. AAAI (2024)
Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. AAAI (2024)
Rui Sun, Zhi Zheng, Zhenkun Wang
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret. AAAI (2024)
Fengxiang Wang, Wanrong Huang, Shaowu Yang, Qi Fan, Long Lan
Learning to Learn Better Visual Prompts. AAAI (2024)
Julien Fageot, Sadegh Farhadkhani, Lê-Nguyên Hoang, Oscar Villemaud
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons. AAAI (2024)
Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data. AAAI (2024)
Karan Mirakhor, Sourav Ghosh, Dipanjan Das, Brojeshwar Bhowmick
Task Planning for Object Rearrangement in Multi-Room Environments. AAAI (2024)
Masahiro Kohjima
Shuffled Deep Regression. AAAI (2024)
Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees. AAAI (2024)
Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract). AAAI (2024)
Sen Deng, Yidan Feng, Haoneng Lin, Yiting Fan, Alex Pui-Wai Lee, Xiaowei Hu, Jing Qin
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting. AAAI (2024)
Shuyu Miao, Jian Liu, Lin Zheng, Hong Jin
Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data. AAAI (2024)
Cai Xu, Jiajun Si, Ziyu Guan, Wei Zhao, Yue Wu, Xiyue Gao
Reliable Conflictive Multi-View Learning. AAAI (2024)
Fan Yang, Wei Li, Menglong Yang, Binbin Liang, Jianwei Zhang
Multi-Modal Disordered Representation Learning Network for Description-Based Person Search. AAAI (2024)
Coenraad Mouton, Marthinus Wilhelmus Theunissen, Marelie H. Davel
Input Margins Can Predict Generalization Too. AAAI (2024)
Ruixin Liu, Zejian Yuan
Compact HD Map Construction via Douglas-Peucker Point Transformer. AAAI (2024)
Cheng Peng, Ke Chen, Lidan Shou, Gang Chen
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition. AAAI (2024)
Juhi Chaudhary, Hendrik Molter, Meirav Zehavi
How to Make Knockout Tournaments More Popular? AAAI (2024)
Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim
Weakly Supervised Semantic Segmentation for Driving Scenes. AAAI (2024)
Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi
Generative Model for Decision Trees. AAAI (2024)
Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI (2024)
Zhenhua Yang, Dezhi Peng, Yuxin Kong, Yuyi Zhang, Cong Yao, Lianwen Jin
FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning. AAAI (2024)
Anisha Gunjal, Jihan Yin, Erhan Bas
Detecting and Preventing Hallucinations in Large Vision Language Models. AAAI (2024)
Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. AAAI (2024)
Md Maklachur Rahman, Tracy Hammond
Learning Random Noise Salient Feature Fusion Siamese Network for Low-Resolution Object Tracking (Student Abstract). AAAI (2024)
Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing. AAAI (2024)
Guiqin Wang, Peng Zhao, Yanjiang Shi, Cong Zhao, Shusen Yang
Generative Model-Based Feature Knowledge Distillation for Action Recognition. AAAI (2024)
Ajitesh Srivastava, Juan Marcos Ramirez, Sergio Díaz-Aranda, José Aguilar, Antonio Fernández Anta, Antonio Ortega, Rosa Elvira Lillo
Nowcasting Temporal Trends Using Indirect Surveys. AAAI (2024)
Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs, Samet Oymak, Fabio Pasqualetti
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions. AAAI (2024)
Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming. AAAI (2024)
Yutao Yuan, Chun Yuan
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution. AAAI (2024)
Yang Fan, Xiangping Wu, Qingcai Chen, Heng Li, Yan Huang, Zhixiang Cai, Qitian Wu
TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement. AAAI (2024)
Haohe Liu, Xubo Liu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley
Learning Temporal Resolution in Spectrogram for Audio Classification. AAAI (2024)
Taeyoung Kim, Dongsoo Har
Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract). AAAI (2024)
Xiaobin Huang, Lei Song, Ke Xue, Chao Qian
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. AAAI (2024)
Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter
Dynamic Knowledge Injection for AIXI Agents. AAAI (2024)
Xiaolong Huang, Qiankun Li, Xueran Li, Xuesong Gao
One Step Learning, One Step Review. AAAI (2024)
Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström
A Simple and Yet Fairly Effective Defense for Graph Neural Networks. AAAI (2024)
Kai Shang, Mingwen Shao, Chao Wang, Yuanshuo Cheng, Shuigen Wang
Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement. AAAI (2024)
Inge Vejsbjerg, Elizabeth M. Daly, Rahul Nair, Svetoslav Nizhnichenkov
Interactive Human-Centric Bias Mitigation. AAAI (2024)
Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt
Discovering Agents (Abstract Reprint). AAAI (2024)
Micheal Abaho, Yousef H. Alfaifi
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint). AAAI (2024)
Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis
Distributional Off-Policy Evaluation for Slate Recommendations. AAAI (2024)
Ayumi Igarashi, Martin Lackner, Oliviero Nardi, Arianna Novaro
Repeated Fair Allocation of Indivisible Items. AAAI (2024)
Pranava Madhyastha
Towards Holistic, Pragmatic and Multimodal Conversational Systems. AAAI (2024)
Zhihao Wang, Yulin Zhou, Ningyu Zhang, Xiaosong Yang, Jun Xiao, Zhao Wang
Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration. AAAI (2024)
Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu, Fang-Lue Zhang, Song-Hai Zhang
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation. AAAI (2024)
Ning Zhang, Hiuyi Cheng, Jiayu Chen, Zongyuan Jiang, Jun Huang, Yang Xue, Lianwen Jin
M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis. AAAI (2024)
Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi
Concealing Sensitive Samples against Gradient Leakage in Federated Learning. AAAI (2024)