Ragav Sachdeva

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Graph Transduction

Top Venues

Pattern Recognit.

Publications

Ragav Sachdeva, Andrew Zisserman
The Manga Whisperer: Automatically Generating Transcriptions for Comics. CoRR (2024)
Ragav Sachdeva, Andrew Zisserman
The Change You Want to See (Now in 3D). CoRR (2023)
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
LongReMix: Robust learning with high confidence samples in a noisy label environment. Pattern Recognit. 133 (2023)
Ragav Sachdeva, Andrew Zisserman
The Change You Want to See. WACV (2023)
Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. Pattern Recognit. 134 (2023)
Ragav Sachdeva, Andrew Zisserman
The Change You Want to See (Now in 3D). ICCV (Workshops) (2023)
Ragav Sachdeva, Andrew Zisserman
The Change You Want to See. CoRR (2022)
Ragav Sachdeva, Ravi Hammond, James Bockman, Alec Arthur, Brandon Smart, Dustin Craggs, Anh-Dzung Doan, Thomas Rowntree, Elijah Schutz, Adrian Orenstein, Andy Yu, Tat-Jun Chin, Ian D. Reid
Autonomy and Perception for Space Mining. ICRA (2022)
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. CoRR (2021)
Ragav Sachdeva, Ravi Hammond, James Bockman, Alec Arthur, Brandon Smart, Dustin Craggs, Anh-Dzung Doan, Thomas Rowntree, Elijah Schutz, Adrian Orenstein, Andy Yu, Tat-Jun Chin, Ian D. Reid
Robotic Vision for Space Mining. CoRR (2021)
Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment. CoRR (2021)
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. WACV (2021)
Ragav Sachdeva, Frank Neumann, Markus Wagner
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms. ICONIP (5) (2020)
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. CoRR (2020)
Ragav Sachdeva, Frank Neumann, Markus Wagner
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms. CoRR (2020)