Program
Invited talks will be played on the zoom channel during the first 30 minutes (the speaker will be available for textual Q&A on the chat), followed by 10 minutes of video Q&A.
08:45-08:55 Introduction and awards
08:55-09:35 Invited talk: Zsolt Kira
09:35-10:15 Invited talk: Bharath Hariharan
10:15-11:15 Contributed Talks [4 talks]
11:15-13:00 Poster presentations [40 posters]
13:00-13:40 Invited Talk: John Smith
13:40-14:20 Invited Talk: Raja Giryes
14:00-14:15 Challenge 2nd place winner
14:15-14:40 Challenge 1st place winner
14:40-15:20 Invited Talk: Judy Hoffman
15:20-16:00 Invited Talk: David Harwath
16:00-17:00 Contributed Talks [4 talks]
17:00-17:40 Invited Talk: Trevor Darrell
Accepted papers
Orals
BEST PAPER AWARD: "MA3: Model Agnostic Adversarial Augmentation for Few Shot learning", Jena, Rohit Kumar; Halder, Shirsendu S; Sycara, Katia
"Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation", Yu, Felix; Deng, Zhiwei; Narasimhan, Karthik; Russakovsky, Olga
"Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention", Huynh, Dat B; Elhamifar, Ehsan
"A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning", Huynh, Dat B; Elhamifar, Ehsan
"Adversarial Representation Active Learning", Mottaghi, Ali; Yeung, Serena
"Revisiting Few-shot Activity Detection with Class Similarity Control", Xu, Huijuan; Sun, Ximeng; Tzeng, Eric; Das, Abir; Saenko, Kate; Darrell, Trevor
"Creativity Inspired Zero-Shot Learning", Elhoseiny, Mohamed; Elfeki, Mohamed
"Context-Guided Super-Class Inference for Zero-Shot Detection", Li, Yanan; Shao, Yilan; Wang, Donghui
Posters
"Activity-aware Attributes for Zero-Shot Driver Behavior Recognition", Reiß, Simon M; Roitberg, Alina; Haurilet, Monica; Stiefelhagen, Rainer
"Diagnosing Rarity in Human-object Interaction Detection", Kilickaya, Mert; Smeulders, Arnold W.M.
"Pose-Guided Knowledge Transfer for Object Part Segmentation", Naha, Shujon; Xiao, Qingyang; Banik, Prianka; Reza, Md Alimoor; Crandall, David
"Open Cross-Domain Retrieval without Examples", Thong, William; Mettes, Pascal; Snoek, Cees
"Two-phase Pseudo Label Densification for Self-training based Domain Adaptation", Shin, Inkyu; Woo, Sanghyun; Pan, Fei; Kweon, In So
"ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification", Usuyama, Naoto; Larios Delgado, Natalia; K. Hall, Amanda; Lundin, Jessica
"Image2Audio: Facilitating Semi-supervised Audio Emotion Recognition with Facial Expression Image", He, Gewen; Liu, Xiaofeng; Fan, Fangfang; You, Jane
"Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles", Simon, Dror; Farber, Miriam; Goldenberg, Roman
"CLAREL: Classification via retrieval loss for zero-shot learning", Oreshkin, Boris N.; Rostamzadeh, Negar; Pinheiro, Pedro Oliveira; Pal, Christopher
"Unsupervised Batch Normalization", Kocyigit, Mustafa Taha; Sevilla-Lara, Laura; Hospedales, Timothy; Bilen, Hakan
"Proposal Learning for Semi-Supervised Object Detection", Tang, Peng; Ramaiah, Chetan; Wang, Yan; Xu, Ran; Xiong, Caiming
"An Embarrassingly Simple Baseline to One-shot Learning", Liu, Chen; Xu, Chengming; Wang, Yikai; Zhang, Li; Fu, Yanwei
"Towards Fine-grained Sampling for Active Learning in Object Detection", Desai, Sai Vikas; N Balasubramanian, Vineeth
"Improved Few-Shot Visual Classification", Bateni, Peyman; Goyal, Raghav; Masrani, Vaden W; Wood, Frank; Sigal, Leonid
"Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels", Samplawski, Colin; Kwon, Heesung; Learned-Miller, Erik; Marlin, Benjamin
"Verbs On Action: Zero Shot Activity Recognition with Videos", Örnek, Evin Pınar; Moens, Marie-Francine
"Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions", Gadelha, Matheus A; RoyChowdhury, Aruni; Sharma, Gopal; Kalogerakis, Evangelos; Cao, Liangliang; Learned-Miller, Erik; Wang, Rui; Maji, Subhransu
"Unsupervised Domain Adaptation for Spatio-Temporal Action Localization", Agarwal, Nakul; Chen, Yi-Ting; Dariush, Behzad; Yang, Ming-Hsuan
"Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients", Yaar, Asfand; Asif, Amina; Raza, Shan; Rajpoot, Nasir; Minhas, Fayyaz
"Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited Labels", Raisi, Elaheh; Bach, Stephen
"Data Importance-Based Active Learning for Limited Labels", Pezeshkpour, Pouya; Zhao, Zhengli; Singh, Sameer
"Relative Position and Map Networks in Few-shot Learning for Image Classification", Xue, Zhiyu; Xie, Zhenshan; Xing, Zheng; Duan, Lixin
"Deep connections between learning from limited labels & physical parameter estimation - inspiration for regularization", Peters, Bas
"Zero-Shot Domain Generalization", Maniyar, Udit; K J, Joseph; Deshmukh, Aniket Anand; Dogan, Urun; N Balasubramanian, Vineeth
"Any-Shot Sequential Anomaly Detection in Surveillance Videos", DOSHI, KEVAL; Yilmaz, Yasin
"Learning to Balance Specificity and Invariance for In and Out of Domain Generalization", Chattopadhyay, Prithvijit; Balaji, Yogesh; Hoffman, Judy
"SEN: A Novel Dissimilarity Measure for Prototypical Few-Shot Learning Networks", Nguyen, Nhan V; Løkse, Sigurd E; Wickstrom, Kristoffer K; Kampffmeyer, Michael C.; Roverso, Davide; Jenssen, Robert
"Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection", Ren, Zhongzheng; Yu, Zhiding; Yang, Xiaodong; Liu, Ming-Yu; Lee, Yong Jae; Schwing, Alexander; Kautz, Jan
"Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation", Wang, Zhonghao; Wei, Yunchao; Feris, Rogerio; Xiong, Jinjun; Hwu, Wen-Mei; Huang, Thomas; Shi, Humphrey
"Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation", Wang, Zhonghao; Yu, Mo; Wei, Yunchao; Feris, Rogerio; Xiong, Jinjun; Hwu, Wen-Mei; Huang, Thomas; Shi, Humphrey
"Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction", Mohamed, Abduallah A; Qian, Kun; Elhoseiny, Mohamed; Claudel, Christian
"Self-Supervised Learning of Local Features in 3D Point Clouds", Thabet, Ali K; Alwassel, Humam; Ghanem, Bernard
"A Simple Discriminative Dual Semantic Auto-encoder for Zero-shot Classification", Liu, Yang; Li, Jin; Gao, Xinbo
"VISER: Visual Self-Regularization", Izadinia, Hamid; Garrigues, Pierre
"Rethinking Segmentation Guidance for Weakly Supervised Object Detection", Yang, Ke; Zhang, Peng; Qiao, Peng; Wang, Zhiyuan; Dai, Huadong; Shen, Tianlong; Li, Dongsheng; Dou, Yong
"When Does Self-supervision Improve Few-shot Learning?", Su, Jong-Chyi; Maji, Subhransu; Hariharan, Bharath
"MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification", Doveh, Sivan; Schwartz, Eli; Xue, Chao; Feris, Rogerio; Bronstein, Alex ; Giryes, Raja; Karlinsky, Leonid
"TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification", Lichtenstein, Moshe; Sattigeri, Prasanna; Feris, Rogerio; Giryes, Raja; Karlinsky, Leonid
"StarNet: for weakly supervised few-shot detection and explainable classification", Karlinsky, Leonid; Shtok, Joseph; Alfassy, Amit; Lichtenstein, Moshe; Harary, Sivan; Schwartz, Eli; Doveh, Sivan; Sattigeri, Prasanna; Feris, Rogerio; Bronstein, Alex ; Giryes, Raja