Adobe actively participates in the IEEE Computer Society International Conference on Computer Vision (ICCV) each year. At this year’s conference, taking place from October 11-17, Adobe is presenting 47 co-authored papers, including 5 oral papers, 34 posters, and 8 workshop papers. Adobe authors have also contributed to the conference in many other ways, including co-organizing several workshops, area chairing, reviewing papers, and giving keynotes at workshops. In addition, Adobe reviewers received several best reviewer awards.
Nearly all of Adobe’s papers are the results of student internships or other collaborations with university students and faculty. For those interested, please check out the Adobe Research Careers website to learn more about internships and full-time career opportunities.
Here are Adobe’s contributions to ICCV 2021.
A Simple Baseline for Weakly-Supervised Scene Graph Generation Jing Shi, Yiwu Zhong, Ning Xu, Yin Li, Chenliang Xu Adaptive Adversarial Network for Source-free Domain Adaptation Taotao Jing, Handong Zhao, Zhengming Ding AESOP: Abstract Encoding of Stories, Objects, and Pictures Hareesh Ravi, Kushal Kafle, Scott Cohen, Jonathan Brandt, Mubbasir Kapadia ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity Dan Ruta, Saeid Motiian, Baldo Faieta, Zhe Lin, Hailin Jin, Alex Filipkowski, Andrew Gilbert, John Collomosse BuildingNet: Learning to Label 3D Buildings Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria Maslioukova, Melinos Averkiou, Andreas Andreou, Siddhartha Chaudhuri, Evangelos Kalogerakis Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Hung Tran, Benjamin Van Durme, Alan Yuille Contact-aware motion retargeting Ruben Villegas, Duygu Ceylan, Aaron Hertzmann, Jimei Yang, Jun Saito CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan, Radomir Mech, Tamy Boubekeur, Niloy J. Mitra Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation Jiabo Huang, Yang Liu, Shaogang Gong, Hailin Jin ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu Editing Conditional Radiance Fields Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks Tao Wang, Ning Xu, Kean Chen, Weiyao Lin Face Image Retrieval with Attribute Manipulation Alireza Zaeemzadeh, Shabnam Ghadar, Baldo Faieta, Zhe Lin, Nazanin Rahnavard, Mubarak Shah, Ratheesh Kalarot Feature Importance-aware Transferable Adversarial Attacks Zhibo Wang, Hengchang Guo, Zhifei Zhang, Wenxin Liu, Zhan Qin, Kui Ren Field Convolutions for Surface CNNs Thomas Mitchel, Vladimir Kim, Michael Kazhdan Generative Layout Modeling using Constraint Graphs Wamiq Para, Paul Guerrero, Tom Kelly, Leonidas Guibas, Peter Hierarchical Memory Matching Network for Video Object Segmentation Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, Euntai Kim HighlightMe: Detecting Highlights from Human-Centric Videos Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli, Vishy Swaminathan, Dinesh Manocha HuMoR: 3D Human Motion Model for Robust Pose Estimation Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel Labels4Free: Unsupervised Segmentation using StyleGAN Rameen Abdal, Peihao Zhu, Niloy Mitra, Peter Wonka Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism Wentao Jiang, Ning Xu, Jiayun Wang, Chen Gao, Jing Shi, Zhe Lin, Si Liu Learning to Cut by Watching Movies Alejandro Pardo, Fabian Caba, Juan Léon Alcázar, Ali K. Thabet, Bernard Ghanem MAAS: Multi-modal Assignation for Active Speaker Detection Juan Léon Alcázar, Fabian Caba, Ali K. Thabet, Bernard Ghanem Modulated Periodic Activations for Generalizable Local Functional Representations Ishit Mehta; Michaël Gharbi; Connelly Barnes; Eli Shechtman; Ravi Ramamoorthi; Manmohan Chandraker Neural Strokes: Stylized Line Drawing of 3D Shapes Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution Eric Nguyen, Trung Bui, Vishy Swaminathan, John Collomosse SemIE: Semantically-aware Image Extrapolation Bholeshwar Khurana, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, Kuldeep Kulkarni SSH: A Self-Supervised Framework for Image Harmonization Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang STEM: An approach to Multi-source Domain Adaptation with Guarantees Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung Stochastic Scene-aware motion prediction Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, Michael J. Black StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Samuel Albanie, Yang Liu Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases Jan Bednarik, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman Time-Equivariant Contrastive Video Representation Learning Simon Jenni, Hailin Jin Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan Russell MVSNeRF: Fast Generalizable Radiance Field Reconstruction From Multi-View Stereo Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, Hao Su Collaging Class-Specific GANs for Semantic Image Synthesis Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
Contrastive Feature Loss for Image Prediction Alex Andonian, Taesung Park, Bryan Russell, Richard Zhang, Phillip Isola, Jun-Yan Zhu Workshop - Advances in Image Manipulation Defending Object Detection Networks Against Adversarial Patch Attacks Thomas Gittings, Steve Schneider, John Collomosse Workshop on Adversarial Robustness in the Real World Learning Where to Cut from Edited Videos Yuzhong Huang Xue Bai, Oliver Wang, Fabian Caba, Aseem Agarwala Workshop on AI for Creative Video Editing and Understanding Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch Leo Ribeiro, Tu Bui, John Collomosse, Moacir Ponti Workshop: Sketching for Human Expressivity Studying the Effects of Self-Attention for Medical Image Analysis Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver Aalami Workshop on Computer Vision for Automated Medical Diagnosis DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates Minghua Liu, Minhyuk Sung, Radomir Mech, Hao Su Workshop on Structural and Compositional Learning on 3D Data Joint Learning of 3D Shape Retrieval and Deformation Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas Guibas Workshop on Structural and Compositional Learning on 3D Data Seeing the Unseen: Predicting the First-Person Camera Wearer's Location and Pose in Third-Person Scenes Yangming Wen, Krishna Kumar Singh, Markham Anderson, Wei-Pang Jan, Yong Jae Lee Workshop on Egocentric Perception, Interaction and Computing: Introducing a massive-scale first-person video project
StruCo3D Workshop: Structural and Compositional Learning on 3D Data Niloy Mitra, Paul Guerrero, Siddhartha Chaudhuri SHE: Sketching for Human Expressivity Niloy Mitra AI for Creative Video Editing and Understanding (CVEU) Fabian Caba LatinX in Computer Vision Workshop (LXCV) Fabian Caba
Invited Talks and Keynotes
Why Do Line Drawings Work?, at Workshop on Sketching for Human Expressivity Aaron Hertzmann Neural Surface Maps, at Workshop on Deep Learning for Geometric Computing Niloy Mitra Generative Models for Vector Graphics, at Workshop on Unsupervised 3D Learning in the Wild Niloy Mitra