Mel Vecerík - RankMe

24 papers A* 5A 2Misc 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark. AISTATS Jaiden Fairoze, Guillermo Ortiz-Jiménez, Mel Vecerík, Somesh Jha, Sven Gowal
2025	J	`jnl`	On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark. CoRR Jaiden Fairoze, Guillermo Ortiz-Jiménez, Mel Vecerík, Somesh Jha, Sven Gowal
2025	J	`jnl`	SynthID-Image: Image watermarking at internet scale. CoRR Sven Gowal, Rudy Bunel, Florian Stimberg, David Stutz, Guillermo Ortiz-Jiménez, Christina Kouridi, Mel Vecerík, Jamie Hayes, Sylvestre-Alvise Rebuffi, Paul Bernard, Chris Gamble, Miklós Z. Horváth, Fabian Kaczmarczyck, Alex Kaskasoli, Aleksandar Petrov, Ilia Shumailov, Meghana Thotakuri, Olivia Wiles, Jessica Yung, Zahra Ahmed, Victor Martin, Simon Rosen, Christopher Savcak, Armin Senoner, Nidhi Vyas, Pushmeet Kohli
2024	A*	`conf`	Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks. ICLR Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerík, Jonathan Scholz, David Held
2024	J	`jnl`	Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks. CoRR Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerík, Jonathan Scholz, David Held
2024	A*	`conf`	RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. ICRA Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
2023	J	`jnl`	RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. CoRR Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
2023	A*	`conf`	TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. ICCV Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
2023	J	`jnl`	TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. CoRR Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
2022	A*	`conf`	Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings. ICRA Mel Vecerík, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz
2021	J	`jnl`	Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings. CoRR Mel Vecerík, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz
2021	—	`conf`	Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study. Robotics: Science and Systems Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerík, Ning Ye, Stefan Schaal, Jonathan Scholz
2021	J	`jnl`	Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study. CoRR Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerík, Ning Ye, Stefan Schaal, Jonathan Scholz
2020	Misc	`conf`	S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency. CoRL Mel Vecerík, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Raia Hadsell, Lourdes Agapito, Jonathan Scholz
2020	J	`jnl`	S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency. CoRR Mel Vecerík, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Christopher Schuster, Raia Hadsell, Lourdes Agapito, Jonathan Scholz
2020	—	`conf`	Scaling data-driven robotics with reward sketching and batch reinforcement learning. Robotics: Science and Systems Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang
2019	J	`jnl`	A Framework for Data-Driven Robotics. CoRR Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang
2019	A*	`conf`	A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning. ICRA Mel Vecerík, Oleg Sushkov, David Barker, Thomas Rothörl, Todd Hester, Jonathan Scholz
2019	—	`conf`	Generative predecessor models for sample-efficient imitation learning. ICLR (Poster) Yannick Schroecker, Mel Vecerík, Jonathan Scholz
2019	J	`jnl`	Generative predecessor models for sample-efficient imitation learning. CoRR Yannick Schroecker, Mel Vecerík, Jonathan Scholz
2019	A	`conf`	Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. IROS Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz
2019	J	`jnl`	Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. CoRR Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz
2018	J	`jnl`	A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning. CoRR Mel Vecerík, Oleg Sushkov, David Barker, Thomas Rothörl, Todd Hester, Jonathan Scholz
2018	J	`jnl`	Observe and Look Further: Achieving Consistent Performance on Atari. CoRR Tobias Pohlen, Bilal Piot, Todd Hester, Mohammad Gheshlaghi Azar, Dan Horgan, David Budden, Gabriel Barth-Maron, Hado van Hasselt, John Quan, Mel Vecerík, Matteo Hessel, Rémi Munos, Olivier Pietquin