Marcos V. Conde

According to our database, Marcos V. Conde authored at least 36 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

High-Quality Image Restoration Following Human Instructions.

Marcos V. Conde, Gregor Geigle, Radu Timofte

CoRR, 2024

BSRAW: Improving Blind RAW Image Super-Resolution.

Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement.

Marcos V. Conde, Javier Vazquez-Corral, Michael S. Brown, Radu Timofte

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Efficient Baselines for Motion Prediction in Autonomous Driving.

Carlos Gómez Huélamo, Marcos V. Conde, Rafael Barea, Manuel Ocaña, Luis Miguel Bergasa

CoRR, 2023

Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite Imagery.

Gábor Fodor, Marcos V. Conde

CoRR, 2023

h2oGPT: Democratizing Large Language Models.

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

CoRR, 2023

Perceptual Image Enhancement for Smartphone Real-Time Applications.

Marcos V. Conde, Florin-Alexandru Vasluianu, Javier Vazquez-Corral, Radu Timofte

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Efficient Context-Aware Graph Transformer for Vehicle Motion Prediction.

Carlos Gómez Huélamo, Marcos V. Conde, Rodrigo Gutiérrez-Moreno, Rafael Barea, Angel Llamazares, Miguel Antunes, Luis Miguel Bergasa

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

H2O Open Ecosystem for State-of-the-art Large Language Models.

Arno Candel, Jon McKinney, Philipp Singer, Pascal Pfeiffer, Maximilian Jeblick, Chun Ming Lee, Marcos V. Conde

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Real-Time 4K Image Super-Resolution.

Eduard Zamfir, Marcos V. Conde, Radu Timofte

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Night Photography Rendering.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Efficient Multi-Lens Bokeh Effect Rendering and Transformation.

Tim Seizinger, Marcos V. Conde, Manuel Kolmet, Tom E. Bishop, Radu Timofte

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Multi-Agent Motion Prediction with Heuristic Goals and Motion Refinement.

Carlos Gómez Huélamo, Marcos V. Conde, Rafael Barea, Luis Miguel Bergasa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Brief Overview of AI Governance for Responsible Machine Learning Systems.

Navdeep Gill, Abhishek Mathur, Marcos V. Conde

CoRR, 2022

General Image Descriptors for Open World Image Retrieval using ViT CLIP.

Marcos V. Conde, Ivan Aerlic, Simon Jégou

CoRR, 2022

Exploring Map-based Features for Efficient Attention-based Vehicle Motion Prediction.

Carlos Gómez Huélamo, Marcos V. Conde, Miguel Ortiz

CoRR, 2022

Exploring Attention GAN for Vehicle Motion Prediction.

Carlos Gómez Huélamo, Marcos V. Conde, Miguel Ortiz, Santiago Montiel, Rafael Barea, Luis Miguel Bergasa

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices.

Marcos V. Conde, Florin-Alexandru Vasluianu, Sabari Nathan, Radu Timofte

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report.

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration.

Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

NTIRE 2022 Challenge on Perceptual Image Quality Assessment.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Conformer and Blind Noisy Students for Improved Image Quality Assessment.

Marcos V. Conde, Maxime Burchi, Radu Timofte

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Few-shot Long-Tailed Bird Audio Recognition.

Marcos V. Conde, Ui-Jin Choi

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Model-Based Image Signal Processors via Learnable Dictionaries.

Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots.

Marcos V. Conde

CoRR, 2021

Exploring Vision Transformers for Fine-grained Classification.

Marcos V. Conde, Kerem Turgutlu

CoRR, 2021

CLIP-Art: Contrastive Pre-Training for Fine-Grained Art Classification.

Marcos V. Conde, Kerem Turgutlu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution.

Marcos V. Conde, Kumar Shubham, Prateek Agnihotri, Nitin D. Movva, Szilard Bessenyei

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2019

Multi-attention Networks for Temporal Localization of Video-level Labels.

Lijun Zhang, Srinath Nizampatnam, Ahana Gangopadhyay, Marcos V. Conde

CoRR, 2019