CIVIL @ DSAA 2024

2:00 – 5:30 pm (PDT) on Monday, October 7th

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• 2:20 – 2:40 pm (PDT)
  Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-grained Motor Behavior Recognition (Cheng Liu, Xuyang Yan, Zekun Zhang, Cheng Ding, Tianhao Zhao, Shaya Jannati, Cynthia Martinez and Dietrich Stout)
• 2:40 – 3:00 pm (PDT)
  A Teacher Is Worth A Million Instructions (Nikhil Kothari, Ravindra Nayak, Shreyas Shetty, Amey Patil and Nikesh Garera)
• 3:00 – 3:20 pm (PDT)
  PsyPrompt: LLM Prompt Patterns for Goal Contents Pursuit on Social Media (Mengli Yu, Yizhunan Zhou, Jiahui Wang and Zhenkun Zhou)
• Coffee Break 3:30 – 4:00 pm (PDT)
• 4:00 – 4:20 pm (PDT)
  Stroke-CVAE-CGAN: a medical imaging data augmentation network incorporating stroke lesion distribution (Haisheng Hui, Xueying Zhang, Fenglian Li and Zelin Wu)
• 4:20 – 4:40 pm (PDT)
  Deep Learning-Based Prediction of Driver Genes in Non-Small Cell Lung Cancer (Yu Bai, Songyan Han, Qin Wei, Haisheng Hui, Guohao Feng, Yongqiang Cheng and JianxiaLiu)
• 4:40 – 5:00 pm (PDT)
  Predicting the survival period of non-small cell lung cancer based on deep learning (Guohao Feng, Songyan Han, Qin Wei, Haisheng Hui, Yu Bai, Yongqiang Cheng and JianxiaLiu)
• 5:00 – 5:20 pm (PDT)
  UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement (Yingtie Lei, Jia Yu, Yihang Dong, ChangweiGong, Ziyang Zhou and Chi-Man Pun)

• 0017. Predicting the survival period of non-small cell lung cancer based on deep learning
• 0338. Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-grained Motor Behavior Recognition
• 1798. UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement
• 4656. PsyPrompt: LLM Prompt Patterns for Goal Contents Pursuit on Social Media
• 5918. A Teacher Is Worth A Million Instructions
• 6224. Stroke-CVAE-CGAN: a medical imaging data augmentation network incorporating stroke lesion distribution
• 6241. An Biometric Model for Iris Images Segmentation and Deep Learning Classification
• 9578. Deep Learning-Based Prediction of Driver Genes in Non-Small Cell Lung Cancer

• Paper Submission Deadline: May 2, 2024 May 30, 2024 (extended)
• Paper Notification: July 24, 2024
• Camera-ready Submission: August 21, 2024
Time zone: Anywhere on Earth (AoE)

• All accepted full-length special session papers will be published by IEEE in the DSAA main conference proceedings under its Special Session scheme. All papers will be submitted for inclusion in the IEEEXplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE.
• Outstanding accepted papers in this special session will be invited to be extended and published in the special issues of Big Data Mining and Analytics.

The general aim of this special session is to address visual and textual tasks emerging from a computational perspective, by overcoming challenges in the computing domain and building artifacts that usefully process vision and language.

• Visual Tasks
• Textual Tasks
• Vision-Language Tasks

– Computational Photography
– Image & Video Sensing, Representation, Modeling, and Registration
– Image & Video Motion Estimation, Registration, and Fusion
– Image & Video Synthesis, Rendering, and Visualization
– Image & Video Restoration and Enhancement
– Image & Video Interpretation and Understanding
– Image & Video Compression, Coding, and Transmission
– Visual Detection, Recognition, Retrieval, and Classification
– Color, Multi-spectral, and Hyper-spectral Imaging
– Image & Video Biometrics, Forensics, and Security
– Stereoscopic, Multi-view, and 3D Processing
– Biomedical and Biological Image Processing
– Image & Video Quality Models

– Computational Social Science and Cultural Analytics
– Dialogue and Interactive Systems
– Discourse and Pragmatics
– Information Extraction
– Information Retrieval and Text Mining
– Linguistic Theories, Cognitive Modeling, and Psycholinguistics
– Machine Translation and Multilinguality
– Phonology, Morphology, and Word Segmentation
– Question Answering
– Resources and Evaluation
– Sentence-level Semantics, Textual Inference, and Other Areas
– Sentiment Analysis, Stylistic Analysis, and Argument Mining
– Speech and Multimodality
– Summarization

– Image-Sentence Retrieval
– Phrase Grounding
– Text-to-Clip
– Image Captioning
– Object Sketching
– Video-text Retrieval
– Visual Question Answering

• Step 1: Login and enter CIVIL @ DSAA 2024 in EasyChair. Website: https://easychair.org/conferences/?conf=civildsaa2024
• Step 2: Select your role as "author". From the top menu, click the "New Submission" button.
• Step 3: Enter your paper information and then use the "Submit" button at the bottom of the form.

• The length of each paper submitted should be no more than 10 pages, and formatted following the standard 2-column U.S. letter style of IEEE Conference template. See the IEEE Proceedings Author Guidelines for further information and instructions.
• All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference's topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews.
• Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA'2024. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA'2024 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper's title and abstract are different from the one appearing in arXiv.

• (i) information necessary for reproducing the experimental results reported in the paper (e.g., various algorithmic and model parameters and configurations, hyper-parameter search spaces, details related to dataset filtering and train/test splits, software versions, detailed hardware configuration, etc.).
• (ii) any data, pseudo-code and proofs that due to space limitations, could not be included in the main manuscript.

The list of authors at the time of submission is final and cannot be changed.

DSAA is an archival publication venue as such submissions that have been previously published, accepted, or are currently under-review at peer-review publication venues (i.e., journals, conferences, workshops with published proceedings, etc.) are not permitted. DSAA has a strict no dual submission policy.

COIs must be declared at the time of submission. COIs include employment at the same institution at the time of submission or in the past three years, collaborations during the past three years, advisor/advisee relationships, plus family and close friends.

At least one author of each accepted poster paper must register in full and attend the conference to present the poster. No-show posters will be removed from the IEEE Xplore proceedings.

The use of artificial intelligence (AI)-generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.

• Elena Zheleva, University of Illinois at Chicago
• Yuxiao Dong, Tsinghua University

• Xuyang Yan, North Carolina Agricultural and Technical State University

• Yaping Zhao, The University of Hong Kong
Inquiries about this special session should be sent to: zhaoyp (at) connect.hku.hk

• Bodong Zhou, Individual Researcher
• Cheng Tang, Kyushu University
• Chutian Wang, The University of Hong Kong
• Haitao Nie, The University of Hong Kong
• Heunseung Lim, Chung-Ang University
• Jiahui Liu, The University of Hong Kong
• Jingyan Chen, The University of Hong Kong
• Pei Zhang, The University of Hong Kong
• Rongzhou Chen, The University of Hong Kong
• Songyi Cui, The University of Hong Kong
• Yang Yang, Beihang University
• Yuwei Chuai, University of Luxembourg
• Zhenkun Zhou, Capital University of Economics and Business