ACML 2024 Conference Submissions

AMG-AVSR: Adaptive Modality Guidance for Audio-Visual Speech Recognition via Progressive Feature Enhancement
Zhishuo Zhao, Dongyue Guo, Wenjie Ou, Hong Liu, Yi Lin
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Enhancing DETRs for Small Object Detection via Multi-Scale Refinement and Query-Aided Mining
Sisi Fu, Zhiming Chen, Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Huosheng Wen, Bingzhi Chen
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Multilevel Position-aware Attention Enhanced Network for Skeleton-Based Action Recognition
Dandan Zhang, Jia Wang, Sicong Zhan
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Chain Association-based Attacking and Shielding Natural Language Processing Systems
JiaCheng Huang, Long Chen
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Diffusion-based Adversarial Attack to Automatic Speech Recognition
Ying Wang, Yuchuan Luo, Shaojing Fu, Zhenyu Qiu, Lin Liu
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance
Yudai Yamamoto, Satoshi Hara
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion
Shuqiang Cai, Chennan Ma, Xin Wang, Li Lin, Ming Yan, Xincheng Lin, Shuqi Fan, Siqi Shen
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries
Mengze Hong, Chen Jason Zhang, Lingxiao Yang, Yuanfeng SONG, Di Jiang
- Published: 05 Sept 2024, Last Modified: 27 Nov 2024
- ACML 2024 Conference Track
- Readers: Everyone
PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning
Zheng Yuan, Qian Wan, Tao Zhang, Chengfu Huo
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Multi-Task Network Guided Multimodal Fusion for Fake News Detection
Jinke Ma, Liyuan Zhang, Yong Liu, Wei Zhang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data
Soumen Pachal, Avinash Achar, Nancy Bhutani, Akash Das
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
LPNER: Label Prompt for Few-shot Nested Named Entity Recognition
Jiaoyun Yang, Zhihan Zhu, Hong Ming, Lili Jiang, Ning An
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba
Huiyu Zhai, Guang Jin, Xingxing Yang, Guosheng Kang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Improve Diverse Commonsense Generation by Enhancing Subgraphs
Jianman Tan, Shuo Yang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Vision Transformer with High Spatial Structure Sensitivity
Zhiwei Xu
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Counterfactual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes
Xuemin Wang, Lei Wang, Tianlong Gu, Xuguang Bao
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence
Vencia Herzog, Stefan Suwelack
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model
Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Prompting vision-language fusion for Zero-Shot Composed Image Retrieval
Peng Wang, Zining Chen, Zhicheng Zhao, Fei Su
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
On the sample complexity of privately learning half-spaces
Yi Hsiang Huang, Wei-Hong Chen, Shi-Chun Tsai
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models
Mengliang He, Aimin Zhou, Xiaoming Shi
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
Xiangming Meng, Yoshiyuki Kabashima
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior
Giang Ngo, Dang Nguyen, Sunil Gupta
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Motion meets Attention: Video Motion Prompts
Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure
Junyi Ye, Mengnan Du, Guiling Wang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone