ARS-14: Machine Learning for Image and Video Classification IV |
Interactive Q&A Time: Tuesday, 27 October, 17:00 - 17:25 |
Virtual Session: View on Virtual Platform |
Session Chair: Fatos Tunay Yarman Vural, METU |
ARS-14.1: REVISITING ROLE OF AUTOENCODERS IN ADVERSARIAL SETTINGS |
Byeong Cheon Kim; Korea Advanced Institute of Science and Technology (KAIST) |
Jung Uk Kim; Korea Advanced Institute of Science and Technology (KAIST) |
Hakmin Lee; Korea Advanced Institute of Science and Technology (KAIST) |
Yong Man Ro; Korea Advanced Institute of Science and Technology (KAIST) |
ARS-14.2: S6: SEMI-SUPERVISED SELF-SUPERVISED SEMANTIC SEGMENTATION |
Moamen Soliman; Georgia Institute of Technology |
Charles Lehman; Georgia Institute of Technology |
Ghassan AlRegib; Georgia Institute of Technology |
ARS-14.3: GRADIENT DECONFLICTION-BASED TRAINING FOR MULTI-EXIT ARCHITECTURES |
Xinglu Wang; Zhejiang University |
Yingming Li; Zhejiang University |
ARS-14.4: AN IMAGE-BASED METHOD TO PREDICT SURFACE ENHANCED RAMAN SPECTROSCOPY SENSOR QUALITY |
Yiming Zuo; HP Inc. |
Yang Lei; HP Inc. |
Steven Barcelo; HP Inc. |
ARS-14.5: KNOWLEDGE DISTILLATION INSPIRED FINE-TUNING OF TUCKER DECOMPOSED CNNS AND ADVERSARIAL ROBUSTNESS ANALYSIS |
Ranajoy Sadhukhan; Indian Institute of Technology Kharagpur |
Avinab Saha; Indian Institute of Technology Kharagpur |
Jayanta Mukhopadhyay; Indian Institute of Technology Kharagpur |
Amit Patra; Indian Institute of Technology Kharagpur |
ARS-14.6: SEMI-SUPERVISED MULTI-SPECTRAL LAND COVER CLASSIFICATION WITH MULTI-ATTENTION AND ADAPTIVE KERNEL |
Kexin Zhang; Shanghai Jiao Tong University |
Hua Yang; Shanghai Jiao Tong University |
ARS-14.7: WHERE IS THE EMOTION? DISSECTING A MULTI-GAP NETWORK FOR IMAGE EMOTION CLASSIFICATION |
Lucinda Lim; Multimedia University |
Huai-Qian Khor; Multimedia University |
Phatcharawat Chaemchoy; Multimedia University |
John See; Multimedia University |
Lai-Kuan Wong; Multimedia University |
ARS-14.8: MULTILEVEL INTERACTION REASONING FOR COMPLEX EVENT RECOGNITION |
Shicheng Li; Shanghai Jiao Tong University |
Hua Yang; Shanghai Jiao Tong University |
Jun Sun; Shanghai Jiao Tong University |
ARS-14.9: THE GOOD, THE BAD, AND THE UGLY: NEURAL NETWORKS STRAIGHT FROM JPEG |
Samuel Felipe dos Santos; Universidade Federal de São Paulo |
Nicu Sebe; University of Trento |
Jurandy Almeida; Universidade Federal de São Paulo |
ARS-14.10: ANOMALOUS MOTION DETECTION ON HIGHWAY USING DEEP LEARNING |
Harpreet Singh; University of Nevada, Reno |
Emily Hand; University of Nevada, Reno |
Kostas Alexis; University of Nevada, Reno |
ARS-14.11: FEW SHOT LEARNING FOR POINT CLOUD DATA USING MODEL AGNOSTIC META LEARNING |
Rishi Puri; UC Berkeley |
Avideh Zakhor; UC Berkeley |
Raul Puri; UC Berkeley |
ARS-14.12: DEEP LEARNING BASED LANDMARK MATCHING FOR AERIAL GEOLOCALIZATION |
Koundinya Nouduri; University of Missouri-Columbia |
Filiz Bunyak; University of Missouri-Columbia |
Shizeng Yao; University of Missouri-Columbia |
Hadi Aliakbarpour; University of Missouri-Columbia |
Sanjeev Agarwal; U.S. Army CCDC C5ISR Center |
Raghuveer Rao; U.S. Army CCDC Army Research Laboratory |
Kannappan Palaniappan; University of Missouri-Columbia |