IVMSP-P17: Machine Learning for Image and Video Processing II
Poster
Wed, 6 May, 09:00 - 11:00
Location: Poster Area 42
Session Type: Poster
Track: Image, Video and Multidimensional Signal Processing [IV]
Click the to view the manuscript on IEEE Xplore Open Preview

IVMSP-P17.1: PRISM: PROPAGATING-BASED REFINED SEMANTIC FEATURES WITH BIPARTITE MATCHING FOR VISIBLE-INFRARED GROUP RE-IDENTIFICATION
Ping Hu, Tongqing Zhu, Lianjin Han, Junhang Wu, Kai Zhao, Xinjiang University, China; Zheng Zhu, GigaAI, China; Jian Zhao, China Telecom, China

IVMSP-P17.2: IQ-LUT: INTERPOLATED AND QUANTIZED LUT FOR EFFICIENT IMAGE SUPER-RESOLUTION
Yuxuan Zhang, Shanghai Jiao Tong University, China; Zhikai Dong, Rockchip Electronics Co., Ltd, China; Xinning Chai, Shanghai Jiao Tong University, China; Xiangyun Zhou, Rockchip Electronics Co., Ltd, China; Yi Xu, Zhengxue Cheng, Li Song, Shanghai Jiao Tong University, China

IVMSP-P17.3: EFFICIENT TRANSFORMER AND INTERLEAVED CONTEXT CLUSTER FOR FAST POINT CLOUD REGISTRATION
Zhaorui Xiang, Shuai Zhao, Shengjie Li, Bo Cheng, Junliang Chen, Zhen Xia, Ziyue Zhu, Beijing University of Posts and Telecommunications, China

IVMSP-P17.4: Learning Reference-Guided Exposure Correction with Hybrid Illumination Characteristics
Hao Ren, Zetong Bi, Zhaoliang Wan, Hui Cheng, Sun Yat-Sen University, China

IVMSP-P17.5: DARKVRAI: CAPTURE-CONDITION CONDITIONING AND BURST-ORDER SELECTIVE SCAN FOR LOW-LIGHT RAW VIDEO DENOISING

Youngjin Oh, Junhyeong Kwon, Junyoung Park, Nam Ik Cho, Seoul National University, Korea, Republic of

IVMSP-P17.6: YOIO: Fast and Reliable Optical Flow Estimation Using Accurate and Holistic References
Jing Yu, Chongqing University, China; Yujuan Tan, College of Computer Science and Technology，National University of Defense Technology, China; Mingrui Qiang, Lin Huang, Sanle Zhao, Zhuoxin Bai, Yue Niu, Ao Ren, Chongqing University, China

IVMSP-P17.7: GLASS-SAM: TRANSPARENT OBJECT SEGMENTATION USING FRACTAL-ENHANCED SAM WITH SHAPE CONTEXT-BASED REWARD
Jinhee Jeon, Seokhan Lee, Christian Wallraven, Korea University, Korea, Republic of

IVMSP-P17.8: TASR: TRAINING TASK-ALIGNED SUPER-RESOLUTION WITH A SEMANTIC AUTOENCODER LOSS
Sunwoo Cho, HAEYOON YANG, YEJIN JUNG, NAM IK CHO, Seoul National University, Korea, Republic of

IVMSP-P17.9: MEMORY FOOTPRINT IMAGES: A U-NET APPROACH FOR ADVANCED CACHE PREFETCHING
Jinting Ren, Hengyi Ren, Xing Li, Nanjing Forestry University, China

IVMSP-P17.10: FAKE IMAGE DETECTION ON NOISE RESIDUAL SPECTRA VIA RANDOM-FEATURE SINGLE-LAYER NEURAL NETWORKS
Emanuele Mele, Angelo Coluccia, University of Salento, Italy

IVMSP-P17.11: Learning Spatio-Temporal Variability for Cattle Re-Identification
Longxiang Li, Yuqi Zhang, Zhiqiang He, Kai Niu, Beijing University of Posts and Telecommunications, China

IVMSP-P17.12: TOWARD A NEW TRAINING STRATEGY FOR CONTROLLABLE BLIND IMAGE DENOISING: EXPLOITING MISMATCHED NOISE LEVEL MAP
Kenan Zou, Jiaqing Wang, Kai Zhang, Nanjing University, China

IVMSP-P17.13: PICFORMER: PERCEPTION-INFERENCE-CONSISTENCY LOOP FOR OCCLUDED 3D POSE ESTIMATION
Mengdi Shi, Yifeng Wang, Yi Zhao, Harbin Institute of Technology, Shenzhen, China

IVMSP-P17.14: EFFICIENT CATEGORY-LEVEL 6D POSE ESTIMATION VIA POSE-AWARE FEATURE LEARNING
Dongkeun Kim, Kang-Sun Choi, KOREATECH, Korea, Republic of

IVMSP-P17.15: Resolution-Progressive Diffusion Model for Pansharpening
Shaowu Wu, Wuhan University, China; Keyan Jin, University of Coimbra, Portugal; Lihui Chen, Chongqing University, China; Lihua Jian, Zhengzhou University, China; Xingyu Liu, Liwei Jing, Xiaoguang Niu, Wuhan University, China

IVMSP-P17.16: SPIKING NEURAL NETWORKS FOR ORDINAL REGRESSION
Wenwu Ma, Ana Sequeira, Jaime Cardoso, INESC TEC, Portugal