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ORCIDSkanda Koppula
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2020 – today
- 2024
[j1]Lois Orosa
, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gómez-Luna, Michaela Blott, Kees A. Vissers, Onur Mutlu:
EcoFlow: Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators. IEEE Trans. Computers 73(9): 2275-2289 (2024)- [c12]Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Joe Heyward, Viorica Patraucean, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh:
A Simple Recipe for Contrastively Pre-Training Video-First Encoders Beyond 16 Frames. CVPR 2024: 14386-14397 - [c11]Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff:
Memory Consolidation Enables Long-Context Video Understanding. ICML 2024 - [i21]Carl Doersch, Yi Yang, Dilara Gokay, Pauline Luc, Skanda Koppula, Ankush Gupta, Joseph Heyward, Ross Goroshin, João Carreira, Andrew Zisserman:
BootsTAP: Bootstrapped Training for Tracking-Any-Point. CoRR abs/2402.00847 (2024) - [i20]Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff:
Memory Consolidation Enables Long-Context Video Understanding. CoRR abs/2402.05861 (2024) - [i19]Skanda Koppula, Ignacio Rocco, Yi Yang, Joseph Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch:
TAPVid-3D: A Benchmark for Tracking Any Point in 3D. CoRR abs/2407.05921 (2024) - [i18]Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, Thomas Unterthiner, Daniel Keysers, Skanda Koppula, Fangyu Liu, Adam Grycner, Alexey A. Gritsenko, Neil Houlsby, Manoj Kumar, Keran Rong, Julian Eisenschlos, Rishabh Kabra, Matthias Bauer, Matko Bosnjak, Xi Chen, Matthias Minderer, Paul Voigtlaender, Ioana Bica, Ivana Balazevic, Joan Puigcerver, Pinelopi Papalampidi, Olivier J. Hénaff, Xi Xiong, Radu Soricut, Jeremiah Harmsen, Xiaohua Zhai:
PaliGemma: A versatile 3B VLM for transfer. CoRR abs/2407.07726 (2024) - 2023
- [c10]Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar:
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation. ICLR 2023 - [c9]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 2023 - [i17]Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar:
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation. CoRR abs/2304.06600 (2023) - [i16]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR abs/2305.13786 (2023) - [i15]Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Joseph Heyward, Viorica Patraucean, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh:
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames. CoRR abs/2312.07395 (2023) - 2022
- [c8]Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic:
Object Discovery and Representation Networks. ECCV (27) 2022: 123-143 - [c7]Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira:
Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR 2022 - [i14]Lois Orosa, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gómez-Luna, Michaela Blott, Kees A. Vissers, Onur Mutlu:
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators. CoRR abs/2202.02310 (2022) - [i13]João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle:
Hierarchical Perceiver. CoRR abs/2202.10890 (2022) - [i12]Utsav Banerjee, Lisa Ho, Skanda Koppula:
Power-Based Side-Channel Attack for AES Key Extraction on the ATMega328 Microcontroller. CoRR abs/2203.08220 (2022) - [i11]Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic:
Object discovery and representation networks. CoRR abs/2203.08777 (2022) - [i10]Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff:
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. CoRR abs/2209.15589 (2022) - 2021
- [c6]Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira:
Efficient Visual Pretraining with Contrastive Detection. ICCV 2021: 10066-10076 - [i9]Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adrià Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back:
A Deep Learning Approach for Characterizing Major Galaxy Mergers. CoRR abs/2102.05182 (2021) - [i8]Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira:
Efficient Visual Pretraining with Contrastive Detection. CoRR abs/2103.10957 (2021) - [i7]Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira:
Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR abs/2107.14795 (2021) - 2020
- [c5]Kieran Strobel, Sibo Zhu, Raphael Chang, Skanda Koppula:
Accurate, Low-Latency Visual Perception for Autonomous Racing: Challenges, Mechanisms, and Practical Solutions. IROS 2020: 1969-1975 - [i6]Kieran Strobel, Sibo Zhu, Raphael Chang, Skanda Koppula:
Accurate, Low-Latency Visual Perception for Autonomous Racing: Challenges, Mechanisms, and Practical Solutions. CoRR abs/2007.13971 (2020)
2010 – 2019
- 2019
- [c4]Skanda Koppula, Lois Orosa, Abdullah Giray Yaglikçi, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, Onur Mutlu:
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM. MICRO 2019: 166-181 - [c3]Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula, Roknoddin Azizi, Skanda Koppula, Nika Mansouri-Ghiasi, Taha Shahroodi, Juan Gómez-Luna, Onur Mutlu:
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations. MICRO 2019: 600-614 - [i5]Skanda Koppula, Lois Orosa, Abdullah Giray Yaglikçi, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, Onur Mutlu:
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM. CoRR abs/1910.05340 (2019) - [i4]Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula, Roknoddin Azizi, Skanda Koppula, Nika Mansouri-Ghiasi, Taha Shahroodi, Juan Gómez-Luna, Onur Mutlu:
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations. CoRR abs/1910.10776 (2019) - 2018
- [c2]Skanda Koppula, James R. Glass, Anantha P. Chandrakasan:
Energy-Efficient Speaker Identification with Low-Precision Networks. ICASSP 2018: 2246-2250 - [c1]Skanda Koppula, Khe Chai Sim, Kean K. Chin:
Understanding Recurrent Neural State Using Memory Signatures. ICASSP 2018: 2396-2400 - [i3]Skanda Koppula, Khe Chai Sim, Kean K. Chin:
Understanding Recurrent Neural State Using Memory Signatures. CoRR abs/1802.03816 (2018) - 2017
- [i2]Skanda Koppula:
Learning a CNN-based End-to-End Controller for a Formula SAE Racecar. CoRR abs/1708.02215 (2017) - [i1]Mohamed Abdelhamid, Skanda Koppula:
Applying the Residue Number System to Network Inference. CoRR abs/1712.04614 (2017)
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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