Manel Baradad - RankMe

17 papers A* 6B 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PLACID: Identity-Preserving Multi-Object Compositing via Video Diffusion with Synthetic Trajectories. CoRR Gemma Canet Tarrés, Manel Baradad, Francesc Moreno-Noguer, Yumeng Li
2025	J	`jnl`	Cost Savings from Automatic Quality Assessment of Generated Images. CoRR Xavier Giró-i-Nieto, Nefeli Andreou, Anqi Liang, Manel Baradad, Francesc Moreno-Noguer, Aleix Martinez
2025	J	`jnl`	Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning. Trans. Mach. Learn. Res. Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon
2025	A*	`conf`	Separating Knowledge and Perception with Procedural Data. ICML Adrián Rodríguez-Muñoz, Manel Baradad, Phillip Isola, Antonio Torralba
2025	J	`jnl`	Separating Knowledge and Perception with Procedural Data. CoRR Adrián Rodríguez-Muñoz, Manel Baradad, Phillip Isola, Antonio Torralba
2024	A*	`conf`	A Vision Check-up for Language Models. CVPR Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Adrián Rodríuez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba, Stephanie Fu
2024	J	`jnl`	A Vision Check-up for Language Models. CoRR Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba
2023	J	`jnl`	Background Prompting for Improved Object Depth. CoRR Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani
2023	J	`jnl`	Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. CoRR Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon
2022	A*	`conf`	Procedural Image Programs for Representation Learning. NeurIPS Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
2022	J	`jnl`	Procedural Image Programs for Representation Learning. CoRR Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
2021	J	`jnl`	Learning to See by Looking at Noise. CoRR Manel Baradad, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba
2020	A*	`conf`	Height and Uprightness Invariance for 3D Prediction From a Single View. CVPR Manel Baradad, Antonio Torralba
2019	A*	`conf`	Using Unknown Occluders to Recover Hidden Scenes. CVPR Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell
2018	A*	`conf`	Inferring Light Fields From Shadows. CVPR Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba
2017	J	`jnl`	Recurrent Neural Networks for Semantic Instance Segmentation. CoRR Amaia Salvador, Miriam Bellver, Manel Baradad, Ferran Marqués, Jordi Torres, Xavier Giró-i-Nieto
2015	B	`conf`	Characterizing chronic disease and polymedication prescription patterns from electronic health records. DSAA Martí Zamora, Manel Baradad, Ester Amado, Silvia Cordomi, Esther Limon, Juliana Ribera, Marta Arias, Ricard Gavaldà