TA.PC.5
Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis
Jianghao Shen, Tianfu Wu, North Carolina State University, United States of America
Session:
TA.PC: Machine Learning for Image Analysis, Synthesis and Retrieval Poster
Track:
Applications of Machine Learning
Location:
Poster Area C
Presentation Time:
Tue, 10 Oct, 11:00 - 12:30 Malaysia Time (UTC +8)
Session Chair:
Yannick Berthoumieu, Laboratoire IMS, Université de Bordeaux
Session TA.PC
TA.PC.1: CONSISTENT AND MULTI-SCALE SCENE GRAPH TRANSFORMER FOR SEMANTIC-GUIDED IMAGE OUTPAINTING
Chiao-An Yang, Purdue University, United States of America; Meng-Lin Wu, Qualcomm Technologies Inc, United States of America; Raymond A. Yeh, Purdue University, United States of America; Yu-Chiang Frank Wang, National Taiwan University, Taiwan
TA.PC.2: IMPROVING TRANSLATION INVARIANCE IN CONVOLUTIONAL NEURAL NETWORKS WITH PERIPHERAL PREDICTION PADDING
Kensuke Mukai, Takao Yamanaka, Sophia University, Japan
TA.PC.3: Joint Probability Distribution Regression for Image Cropping
Tengfei Shi, Beihang University, China; Chenglizhao Chen, China University of Petroleum (East China), China; Yuanbo He, Beihang University, China; Wenfeng Song, Information Science and Technology University, China; Aimin Hao, Beihang University, China
TA.PC.4: ICCL: SELF-SUPERVISED INTRA- AND CROSS-MODAL CONTRASTIVE LEARNING WITH 2D-3D PAIRS FOR 3D SCENE UNDERSTANDING
Kyota Higa, Masahiro Yamaguchi, Toshinori Hosoi, NEC Corporation, Japan
TA.PC.5: Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis
Jianghao Shen, Tianfu Wu, North Carolina State University, United States of America
TA.PC.6: CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering
Mohammed Aburidi, Roummel Marcia, University of California, Merced, United States of America
TA.PC.7: ADAPTIVE CAMOUFLAGE PATTERN GENERATION TO DIFFERENT ENVIRONMENTS VIA CONTENT-AWARE STYLE TRANSFER
Min-jae Kim, Subin Kwon, Chung-Ang University, Korea, Republic of; Byung-hyun Ahn, Republic of Korea Army, Korea, Republic of; Euntaek Ha, Republic of Korea Navy, Korea, Republic of; Yeonhee Choi, Republic of Korea Army, Korea, Republic of; Joonki Paik, Chung-Ang University, Korea, Republic of
TA.PC.8: VIDEO-MUSIC RETRIEVAL WITH FINE-GRAINED CROSS-MODAL ALIGNMENT
Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
TA.PC.9: USURP: UNIVERSAL SINGLE-SOURCE ADVERSARIAL PERTURBATIONS ON MULTIMODAL EMOTION RECOGNITION
Yin Yin Low, Rapha ̈el C.-W. Phan, Arghya Pal, Monash University, Malaysia; Xiaojun Chang, University of Technology Sydney, Australia
TA.PC.10: Micro-Expression Recognition with Layered Relations and More Input Frames
Pinyi Huang, Lei Wang, Tianfu Cai, Kehua Guo, Central South University, China
TA.PC.11: SELECTING A DIVERSE SET OF AESTHETICALLY-PLEASING AND REPRESENTATIVE VIDEO THUMBNAILS USING REINFORCEMENT LEARNING
Evlampios Apostolidis, Information Technologies Institute (ITI), CERTH & Queen Mary University of London, Greece; Georgios Balaouras, Vasileios Mezaris, Information Technologies Institute (ITI), CERTH, Greece; Ioannis Patras, Queen Mary University of London, Greece
TA.PC.12: Self-enhanced training framework for referring expression grounding
Yitao Chen, Ruoyi Du, Kongming Liang, Zhanyu Ma, Beijing University of Posts and Telecommunications, China
Contacts