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Publication date: September 29, 2024

NeAT: Neural Artistic Tracing for high resolution Style Transfer

European Conference on Computer Vision (ECCVW'24) Workshop on Vision for Art (VISART VII)

Dan Ruta, Andrew Gilbert, John Collomosse, Eli Shechtman, Nick Kolkin

Computer Vision, Imaging & Video
Content Intelligence

Publication date: September 29, 2024

SuperGaussian: Repurposing Video Models for 3D Super Resolution

European Conference on Computer Vision (ECCV)

Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Frühstück

AI & Machine Learning
Computer Vision, Imaging & Video
Graphics (2D & 3D)

Publication date: September 29, 2024

Temporal Residual Jacobians for Rig-free Motion Transfer

ECCV

Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir (Vova) Kim, Matt Fisher, Niloy J. Mitra

AI & Machine Learning
Computer Vision, Imaging & Video
Graphics (2D & 3D)

Publication date: September 29, 2024

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement

ECCV

Qimin Chen, Zhiqin Chen, Vladimir (Vova) Kim, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri

AI & Machine Learning
Computer Vision, Imaging & Video
Graphics (2D & 3D)

Publication date: September 23, 2024

Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach

17th International Natural Language Generation Conference (INLG) 2024

Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan, Apoorv Saxena

AI & Machine Learning
Content Intelligence
Document Intelligence
Natural Language Processing

Publication date: September 16, 2024

Fake or Compromised? Making Sense of Malicious Clients in Federated Learning

29th European Symposium on Research in Computer Security (ESORICS)

Hamid Mozaffari, Sunav Choudhary, Amir Houmansadr

AI & Machine Learning
Intelligent Agents & Assistants
Systems & Languages

Publication date: September 16, 2024

BOTracle: A framework for Discriminating Bots and Humans

International Workshops of European Symposium On Research In Computer Security (ESORICS-W)

Jan Kadel, August See, Ritwik Sinha, Mathias Fischer

AI & Machine Learning
Data Intelligence
Systems & Languages

Publication date: September 12, 2024

PDFed: Privacy-Preserving and Decentralized Asynchronous Federated Learning for Diffusion Models

European Conference on Computer Vision in Media Production (CVMP)

Kar Balan, Andrew Gilbert, John Collomosse

Best paper award

AI & Machine Learning
Computer Vision, Imaging & Video
Graphics (2D & 3D)

Publication date: September 8, 2024

SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis

European Conference on Computer Vision (ECCV)

Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian Price, Dan Xu

Computer Vision, Imaging & Video

Publication date: September 8, 2024

SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images

European Conference on Computer Vision (ECCV)

Josh Myers-dean, Jarek Reynolds, Brian Price, Yifei Fan, Danna Gurari

Computer Vision, Imaging & Video

Publication date: September 5, 2024

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models

Interspeech 2024

Minh Van Nguyen, Franck Dernoncourt, David Seunghyun Yoon, Hanieh Deilamsalehy, Hao Tan, Ryan A. Rossi, Quan Hung Tran, Trung Bui, Thien Nguyen

AI & Machine Learning
Audio
Natural Language Processing

Publication date: September 2, 2024

FlexDoc: Flexible Document Adaptation through Optimizing both Content and Layout

2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

Yue Jiang, Christof Lutteroth, Rajiv Jain, Chris Tensmeyer, Varun Manjunatha, Wolfgang Stuerzlinger, Vlad Morariu

Document Intelligence
Human Computer Interaction

Publication date: September 1, 2024

ControlMat: Controlled Generative Approach to Material Capture

ACM Transactions on Graphics

Giuseppe Vecchio, Rosalie Martin, Arthur Roullier, Adrien Kaiser, Romain ROUFFET, Valentin Deschaintre, Tamy Boubekeur

AI & Machine Learning
Computer Vision, Imaging & Video
Graphics (2D & 3D)

Publication date: August 28, 2024

Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation

Interspeech 2024

Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Zeyu Jin

AI & Machine Learning
Audio

Publication date: August 16, 2024

KaPQA: Knowledge-Augmented Product Question-Answering

ACL 2024 Workshop on Knowledge Augmented Methods for NLP

Swetha Eppalapally, Daksh Dangi, Chaithra Bhat, Ankita Gupta, Ruiyi Zhang, Karishma Bagga, David Seunghyun Yoon, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: August 16, 2024

Multi-hop Database Reasoning with Virtual Knowledge Graph

ACL 2024 Workshop on Knowledge Graphs and Large Language Models

Juhee Son, Yeon Seonwoo, Alice Oh, James Thorne, David Seunghyun Yoon

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: August 16, 2024

TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024

Pooja Guhan, Uttaran Bhattacharya, Somdeb Sarkhel, Vahid Azizi, Xiang Chen, Saayan Mitra, Aniket Bera, Dinesh Manocha

Computer Vision, Imaging & Video
Natural Language Processing

Publication date: August 12, 2024

Understanding News Thumbnail Representativeness by Counterfactual Text-Guided Contrastive Language-Image Pretraining

ACL 2024 Findings

Yejun Yoon, David Seunghyun Yoon, Kunwoo Park

AI & Machine Learning
Document Intelligence
Natural Language Processing

Publication date: August 12, 2024

Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering

Findings of the Association for Computational Linguistics (ACL 2024)

Anirudh Phukan, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan

Natural Language Processing

Publication date: August 11, 2024

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention

The Annual Meeting of the Association for Computational Linguistics (ACL)

Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup Rao, Julian McAuley

Natural Language Processing

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