Marcos V. Conde

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 61

Top Topics

Quality Assessment

Signal Processing

Image Restoration

Top Venues

ECCV Workshops (3)

Publications

Carlos Gómez Huélamo, Marcos V. Conde, Rafael Barea, Manuel Ocaña, Luis Miguel Bergasa
Efficient Baselines for Motion Prediction in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Marcos V. Conde, Javier Vazquez-Corral, Michael S. Brown, Radu Timofte
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. AAAI (2024)
Marcos V. Conde, Zhijun Lei, Wen Li, Cosmin Stejerean, Ioannis Katsavounidis, Radu Timofte, Kihwan Yoon, Ganzorig Gankhuyag, Jiangtao Lv, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhiyuan Li, Hao Wei, Chenyang Ge, Dongyang Zhang, Tianle Liu, Huaian Chen, Yi Jin, Menghan Zhou, Yiqiang Yan, Si Gao, Biao Wu, Shaoli Liu, Chengjian Zheng, Diankai Zhang, Ning Wang, Xintao Qiu, Yuanbo Zhou, Kongxian Wu, Xinwei Dai, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Jae-Hyeon Lee, Ui-Jin Choi, Min Yan, Xin Liu, Qian Wang, Xiaoqian Ye, Zhan Du, Tiansen Zhang, Long Peng, Jiaming Guo, Xin Di, Bohao Liao, Zhibo Du, Peize Xia, Renjing Pei, Yang Wang, Yang Cao, Zhengjun Zha, Bingnan Han, Hongyuan Yu, Zhuoyuan Wu, Cheng Wan, Yuqing Liu, Haodong Yu, Jizhe Li, Zhijuan Huang, Yuan Huang, Yajun Zou, Xianyu Guan, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Hyeon-Cheol Moon, Tae-hyun Jeong, Yoonmo Yang, Jae-Gon Kim, Jinwoo Jeong, Sunjei Kim
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey. CoRR (2024)
Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR (2024)
Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte
BSRAW: Improving Blind RAW Image Super-Resolution. WACV (2024)
Marcos V. Conde, Gregor Geigle, Radu Timofte
High-Quality Image Restoration Following Human Instructions. CoRR (2024)
Omar Elezabi, Marcos V. Conde, Radu Timofte
Simple Image Signal Processing using Global Context Guidance. CoRR (2024)
Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai
Event-Based Eye Tracking. AIS 2024 Challenge Survey. CoRR (2024)
Leo Hoshikawa, Marcos V. Conde, Takeshi Ohashi, Atsushi Irie
Extreme Compression of Adaptive Neural Images. CoRR (2024)
Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman, Radu Timofte, Chenlong He, Qi Zheng, Ruoxi Zhu, Zhengzhong Tu, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Zicheng Zhang, Haoning Wu, Yingjie Zhou, Chunyi Li, Xiaohong Liu, Weisi Lin, Guangtao Zhai, Wei Sun, Yuqin Cao, Yanwei Jiang, Jun Jia, Zhichao Zhang, Zijian Chen, Weixia Zhang, Xiongkuo Min, Steve Göring, Zihao Qi, Chen Feng
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results. CoRR (2024)
Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Fengbin Guan, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. CoRR (2024)
Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong Zhang, Yue Sun, Xuanwu Yin, Kunlong Zuo, Senyan Xu, Siyuan Jiang, Zhijing Sun, Jiaying Zhu, Liangyan Li, Ke Chen, Yunzhe Li, Yimo Ning, Guanhua Zhao, Jun Chen, Jinyang Yu, Kele Xu, Qisheng Xu, Yong Dou
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey. CoRR (2024)
Nicolas Chahine, Marcos V. Conde, Daniela Carfora, Gabriel Pacianotto, Benoit Pochon, Sira Ferradans, Radu Timofte
Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey. CoRR (2024)
Carlos Gómez Huélamo, Marcos V. Conde, Rafael Barea, Manuel Ocaña, Luis Miguel Bergasa
Efficient Baselines for Motion Prediction in Autonomous Driving. CoRR (2023)
Tim Seizinger, Marcos V. Conde, Manuel Kolmet, Tom E. Bishop, Radu Timofte
Efficient Multi-Lens Bokeh Effect Rendering and Transformation. CVPR Workshops (2023)
Marcos V. Conde, Eduard Zamfir, Radu Timofte, Daniel Motilla, Cen Liu, Zexin Zhang, Yunbo Peng, Yue Lin, Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Youliang Yan, Yuanfan Zhang, Gen Li, Lei Sun, Lingshun Kong, Haoran Bai, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Long Sun, Zibin Liu, Weiran Gou, Shaoqing Li, Ziyao Yi, Yan Xiang, Dehui Kong, Ke Xu, Ganzorig Gankhuyag, Kihwan Yoon, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Zhou Zhou, Jiahao Chao, Hongfan Gao, Jiali Gong, Zhengfeng Yang, Zhenbing Zeng, Chengpeng Chen, Zichao Guo, Anjin Park, Yuqing Liu, Qi Jia, Hongyuan Yu, Xuanwu Yin, Dongyang Zhang, Ting Fu, Zhengxue Cheng, Shiai Zhu, Dajiang Zhou, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Ben Shao, Shaolong Zheng, Daheng Yin, Baijun Chen, Mengyang Liu, Marian-Sergiu Nistor, Yi-Chung Chen, Zhi-Kai Huang, Yuan-Chun Chiang, Wei-Ting Chen, Hao-Hsiang Yang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Tu Vo, Qingsen Yan, Yun Zhu, Jinqiu Su, Yanning Zhang, Cheng Zhang, Jiaying Luo, Youngsun Cho, Nakyung Lee, Kunlong Zuo
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report. CVPR Workshops (2023)
Arno Candel, Jon McKinney, Philipp Singer, Pascal Pfeiffer, Maximilian Jeblick, Prithvi Prabhu, Jeff Gambera, Mark Landry, Shivam Bansal, Ryan Chesler, Chun Ming Lee, Marcos V. Conde, Pasha Stetsenko, Olivier Grellier, SriSatish Ambati
h2oGPT: Democratizing Large Language Models. CoRR (2023)
Eduard Zamfir, Marcos V. Conde, Radu Timofte
Towards Real-Time 4K Image Super-Resolution. CVPR Workshops (2023)
Yulun Zhang, Kai Zhang, Zheng Chen, Yawei Li, Radu Timofte, Junpei Zhang, Kexin Zhang, Rui Peng, Yanbiao Ma, Licheng Jia, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Yajun Qiu, Qiang Zhu, Pengfei Li, Qianhui Li, Shuyuan Zhu, Dafeng Zhang, Jia Li, Fan Wang, Chunmiao Li, TaeHyung Kim, Jungkeong Kil, Eon Kim, Yeonseung Yu, Beomyeol Lee, Subin Lee, Seokjae Lim, Somi Chae, Heungjun Choi, Zhi-Kai Huang, YiChung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Ui-Jin Choi, Marcos V. Conde, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Jiayu Wei, Yanfeng Li, Jia Sun, Zhanyi Cheng, Zhiyuan Li, Xu Yao, Xinyi Wang, Danxu Li, Xuan Cui, Jun Cao, Cheng Li, Jianbin Zheng, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch
NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops (2023)
Gábor Fodor, Marcos V. Conde
Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite Imagery. CoRR (2023)
Carlos Gómez Huélamo, Marcos V. Conde, Rafael Barea, Luis Miguel Bergasa
Improving Multi-Agent Motion Prediction with Heuristic Goals and Motion Refinement. CVPR Workshops (2023)
Carlos Gómez Huélamo, Marcos V. Conde, Rodrigo Gutiérrez-Moreno, Rafael Barea, Angel Llamazares, Miguel Antunes, Luis Miguel Bergasa
Efficient Context-Aware Graph Transformer for Vehicle Motion Prediction. ITSC (2023)
Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops (2023)
Arno Candel, Jon McKinney, Philipp Singer, Pascal Pfeiffer, Maximilian Jeblick, Chun Ming Lee, Marcos V. Conde
H2O Open Ecosystem for State-of-the-art Large Language Models. CoRR (2023)
Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte
BSRAW: Improving Blind RAW Image Super-Resolution. CoRR (2023)
Alina Shutova, Egor I. Ershov, Georgy Perevozchikov, Ivan Ermakov, Nikola Banic, Radu Timofte, Richard Collins, Maria Efimova, Arseniy P. Terekhin, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Chunxia Lei, Tingniao Wang, Song Wang, Shuai Liu, Chaoyu Feng, Guangqi Shao, Hao Wang, Xiaotao Wang, Lei Lei, Lu Xu, Chao Zhang, Yasi Wang, Jin Guo, Yangfan Sun, Tianli Liu, Hao Dejun, Furkan Kinli, Baris Özcan, Furkan Kiraç, Hyerin Chung, Nakyung Lee, Sungkeun Kwak, Marcos V. Conde, Tim Seizinger, Florin-Alexandru Vasluianu, Omar Elezabi, Chia-Hsuan Hsieh, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, I-Hsiang Chen, Yi-Chung Chen, Yuan-Chun Chiang
NTIRE 2023 Challenge on Night Photography Rendering. CVPR Workshops (2023)
Marcos V. Conde, Javier Vazquez-Corral, Michael S. Brown, Radu Timofte
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. CoRR (2023)
Marcos V. Conde, Florin-Alexandru Vasluianu, Javier Vazquez-Corral, Radu Timofte
Perceptual Image Enhancement for Smartphone Real-Time Applications. WACV (2023)
Arno Candel, Jon McKinney, Philipp Singer, Pascal Pfeiffer, Maximilian Jeblick, Chun Ming Lee, Marcos V. Conde
H2O Open Ecosystem for State-of-the-art Large Language Models. EMNLP (Demos) (2023)
Marcos V. Conde, Ui-Jin Choi
Few-shot Long-Tailed Bird Audio Recognition. CLEF (Working Notes) (2022)
Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. ECCV Workshops (5) (2022)
Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor I. Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. CoRR (2022)
Marcos V. Conde, Florin-Alexandru Vasluianu, Sabari Nathan, Radu Timofte
Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices. CoRR (2022)
Marcos V. Conde, Florin-Alexandru Vasluianu, Javier Vazquez-Corral, Radu Timofte
Perceptual Image Enhancement for Smartphone Real-Time Applications. CoRR (2022)
Marcos V. Conde, Florin-Alexandru Vasluianu, Sabari Nathan, Radu Timofte
Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices. ECCV Workshops (2) (2022)
Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. CoRR (2022)
Marcos V. Conde, Maxime Burchi, Radu Timofte
Conformer and Blind Noisy Students for Improved Image Quality Assessment. CVPR Workshops (2022)
Carlos Gómez Huélamo, Marcos V. Conde, Miguel Ortiz
Exploring Map-based Features for Efficient Attention-based Vehicle Motion Prediction. CoRR (2022)
Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. CoRR (2022)
Marcos V. Conde, Maxime Burchi, Radu Timofte
Conformer and Blind Noisy Students for Improved Image Quality Assessment. CoRR (2022)
Navdeep Gill, Abhishek Mathur, Marcos V. Conde
A Brief Overview of AI Governance for Responsible Machine Learning Systems. CoRR (2022)
Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero
Model-Based Image Signal Processors via Learnable Dictionaries. CoRR (2022)
Marcos V. Conde, Ivan Aerlic, Simon Jégou
General Image Descriptors for Open World Image Retrieval using ViT CLIP. CoRR (2022)
Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. ECCV Workshops (2) (2022)
Carlos Gómez Huélamo, Marcos V. Conde, Miguel Ortiz, Santiago Montiel, Rafael Barea, Luis Miguel Bergasa
Exploring Attention GAN for Vehicle Motion Prediction. CoRR (2022)
Carlos Gómez Huélamo, Marcos V. Conde, Miguel Ortiz, Santiago Montiel, Rafael Barea, Luis Miguel Bergasa
Exploring Attention GAN for Vehicle Motion Prediction. ITSC (2022)
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. CoRR (2022)
Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor I. Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) (2022)
Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. CoRR (2022)
Marcos V. Conde, Kerem Turgutlu
CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification. CoRR (2022)
Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero
Model-Based Image Signal Processors via Learnable Dictionaries. AAAI (2022)
Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) (2022)
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CVPR Workshops (2022)
Marcos V. Conde, Ui-Jin Choi
Few-shot Long-Tailed Bird Audio Recognition. CoRR (2022)
Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. ECCV Workshops (3) (2022)
Marcos V. Conde, Kerem Turgutlu
CLIP-Art: Contrastive Pre-Training for Fine-Grained Art Classification. CVPR Workshops (2021)
Marcos V. Conde, Kumar Shubham, Prateek Agnihotri, Nitin D. Movva, Szilard Bessenyei
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution. CLEF (Working Notes) (2021)
Marcos V. Conde
An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots. CoRR (2021)
Marcos V. Conde, Kumar Shubham, Prateek Agnihotri, Nitin D. Movva, Szilard Bessenyei
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution. CoRR (2021)
Marcos V. Conde, Kerem Turgutlu
Exploring Vision Transformers for Fine-grained Classification. CoRR (2021)
Lijun Zhang, Srinath Nizampatnam, Ahana Gangopadhyay, Marcos V. Conde
Multi-attention Networks for Temporal Localization of Video-level Labels. CoRR (2019)