2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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MLR-APPL-IVASR-5: Machine learning for image and video analysis, synthesis, and retrieval 5

Session Type: Poster
Time: Tuesday, September 21, 15:30 - 17:00
Location: Area C
Session Chair: A. Aydin Alatan, Middle East Technical University (METU)
 
   MLR-APPL-IVASR-5.1: FEDERATED TRACE: A NODE SELECTION METHOD FOR MORE EFFICIENT FEDERATED LEARNING
         Zirui Zhu; Tsinghua University
         Lifeng Sun; Tsinghua University
 
   MLR-APPL-IVASR-5.2: SEMI-SUPERVISED FEW-SHOT CLASS-INCREMENTAL LEARNING
         Yawen Cui; University of Oulu
         Wuti Xiong; University of Oulu
         Mohammad Tavakolian; University of Oulu
         Li Liu; University of Oulu
 
   MLR-APPL-IVASR-5.3: EFFECTIVE GAIT FEATURE EXTRACTION USING TEMPORAL FUSION AND SPATIAL PARTIAL
         Yifan Chen; School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN)
         Yang Zhao; School of Artificial Intelligence, Optics and Electronics (iOPEN)
         Xuelong Li; School of Artificial Intelligence, Optics and Electronics (iOPEN)
 
   MLR-APPL-IVASR-5.4: BIAS: BIJECTIVE INPUT AND SURJECTIVITY IN ZERO SHOT LEARNING
         Rishabh Singh; Eidgenössische Technische Hochschule Zürich
 
   MLR-APPL-IVASR-5.5: DEEP REINFORCEMENT IMAGE MATCHING WITH SELF-TERMINATION
         Onkar Krishna; NTT Corporation
         Go Irie; NTT Corporation
         Xiaomeng Wu; NTT Corporation
         Akisato Kimura; NTT Corporation
         Kunio Kashino; NTT Corporation
 
   MLR-APPL-IVASR-5.6: TRANSFERABLE DISCRIMINATIVE FEATURE MINING FOR UNSUPERVISED DOMAIN ADAPTATION
         Lingjun Zhao; National University of Defense Technology
         Wanxia Deng; National University of Defense Technology
         Gangyao Kuang; National University of Defense Technology
         Dewen Hu; National University of Defense Technology
         Li Liu; University of Oulu
 
   MLR-APPL-IVASR-5.7: DEEP METRIC LEARNING WITH ALTERNATING PROJECTIONS ONTO FEASIBLE SETS
         Oğul Can; Middle East Technical University
         Yeti Z. Gurbuz; Middle East Technical University
         A. Aydın Alatan; Middle East Technical University
 
   MLR-APPL-IVASR-5.8: LEARNING IMBALANCED DATASETS WITH MAXIMUM MARGIN LOSS
         Haeyong Kang; Korea Advanced Institute of Science and Technology
         Thang Vu; Korea Advanced Institute of Science and Technology
         Chang D. Yoo; Korea Advanced Institute of Science and Technology
 
   MLR-APPL-IVASR-5.9: RETHINKING GENRE CLASSIFICATION WITH FINE GRAINED SEMANTIC CLUSTERING
         Edward Fish; University of Surrey
         Jon Weinbren; University of Surrey
         Andrew Gilbert; University of Surrey
 
   MLR-APPL-IVASR-5.10: METU LOSS: METRIC LEARNING WITH ENTANGLED TRIPLET UNIFIED LOSS
         Kaan Karaman; ASELSAN
         A. Aydin Alatan; Middle East Technical University
 
   MLR-APPL-IVASR-5.11: GENERALIZED ZERO-SHOT LEARNING USING MULTIMODAL VARIATIONAL AUTO-ENCODER WITH SEMANTIC CONCEPTS
         Nihar Bendre; University of Texas at San Antonio
         Kevin Desai; University of Texas at San Antonio
         Peyman Najafirad; University of Texas at San Antonio