Publications

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
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Content Intelligence
  • Adobe Research icon Document Intelligence
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Intelligent Agents & Assistants
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Data Intelligence
  • Adobe Research icon Systems & Languages

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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Audio
  • Adobe Research icon 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
  • Adobe Research icon Document Intelligence
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon Graphics (2D & 3D)

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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Document Intelligence
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Document Intelligence
  • Adobe Research icon 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
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon 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
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Document Intelligence
  • Adobe Research icon 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
  • Adobe Research icon 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
  • Adobe Research icon Natural Language Processing

Publication date: August 11, 2024

RaDA: Retrieval-augmented Web Agent Planning with LLMs

Association for Computational Linguistics (ACL)

Minsoo Kim, Victor S. Bursztyn, Eunyee Koh, Shunan Guo, Seung-won Hwang
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Natural Language Processing

Publication date: August 11, 2024

A Tale of Two Revisions: Summarizing Changes Across Document Versions

Association for Computational Linguistics (ACL (Findings) 2024)

Santosh T.Y.S.S., Natwar Modani, Apoorv Saxena
  • Adobe Research icon Document Intelligence
  • Adobe Research icon Natural Language Processing

Publication date: August 2, 2024

Generative Escher Meshes

SIGGRAPH 2024

Thibault Groueix, Noam Aigerman
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Graphics (2D & 3D)

Publication date: August 2, 2024

IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models

SIGGRAPH 2024

Jundan Luo, Duygu Ceylan, Jae Shin Yoon, Nanxuan Zhao, Julien Philip, Anna Frühstück, Wenbin Li, Christian Richardt, Tuanfeng Y. Wang
  • Adobe Research icon AI & Machine Learning
  • Adobe Research icon Computer Vision, Imaging & Video
  • Adobe Research icon Graphics (2D & 3D)
1 7 8 9 10 11 12 13 127