@article{VETO,author={Peri*, Skand and Hong*, Matthew and Zhang, Chaoxiang and Worobel, Ross and Shivakumar, Suraj and Fox, Dieter and Zhang†, Jesse and Gupta†, Abhishek},title={VETO: Reward-Supervised World Models as Action Verifiers for Sample-Efficient RL},journal={preprint},year={2026},}
PrePrint
OopsieRecover: Learning Transferable VLA Corrections from Semantic Interventions
@article{OopsieRecover,author={Bahety*, Arpit and Peri*, Skand and Ambatipudi, Sriniket and Xu, Chen and Nishimura, Haruki and Itkina, Masha and Martín-Martín, Roberto},title={OopsieRecover: Learning Transferable VLA Corrections from Semantic Interventions
},journal={arXiv preprint},year={2026},}
PrePrint
MoMaSplat: Dynamic Novel-View Demonstration Augmentation for Mobile Manipulation
@article{MoMaSplat,author={Kumar*, Sateesh and Balaji*, Arnav and Bahety, Arpit and Peri, Skand and Pavlakos†, Georgios and Martín-Martín†, Roberto},title={MoMaSplat: Dynamic Novel-View Demonstration Augmentation for Mobile Manipulation
},journal={arXiv preprint},year={2026},}
PrePrint
3D Point World Models Point Completion Enables More Accurate Dynamics Learning
@article{3DPWM,author={Peri, Skand and Nguyen, Hung and Kim, Chanho and Fuxin, Li and Lee, Stefan},title={3D Point World Models Point Completion Enables More Accurate Dynamics Learning},journal={arXiv preprint},year={2026},}
2025
CoRLOral
Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control
@article{PEGRAD,abbr2={Oral},author={Peri, Skand and Perincherry*, Akhil and Pandit*, Bikram and Lee, Stefan},title={Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control},journal={Conference on Robot Learning},year={2025},talk={https://youtu.be/9lzFVQoc4Do?t=4470}}
2024
CoRL
Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure
@article{RME,author={Peri, Skand and Pandit, Bikram and Kim, Chanho and Fuxin, Li and Lee, Stefan},title={Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure},journal={Conference on Robot Learning},year={2024},}
ICRA
Point Cloud Models Improve Visual Robustness in Robotic Learners
@article{PCWM,author={Peri, Skand and Lee, Iain and Kim, Chanho and Fuxin, Li and Hermans, Tucker and Lee, Stefan},title={Point Cloud Models Improve Visual Robustness in Robotic Learners},journal={International Conference on Robotics and Automation},year={2024},}
2021
ICML
Structured World Belief for Reinforcement Learning in POMDP
@article{SWB21,author={Singh, Gautam and Peri, Skand and Kim, Junghyun and Kim, Hyunseok and Ahn, Sungjin},title={Structured World Belief for Reinforcement Learning in POMDP},journal={International Conference on Machine Learning},year={2021},}
2020
ICML
Improving Generative Imagination in Object-Centric World Models
@article{GSWM20,author={Lin, Zhixuan and Wu, Yi-Fu and Peri, Skand and Fu, Bofeng and Jiang, Jindong and Ahn, Sungjin},title={Improving Generative Imagination in Object-Centric World Models},journal={International Conference on Machine Learning},year={2020},}
ICLR
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
@article{SPACE20,author={Lin*, Zhixuan and Wu*, Yi-Fu and Peri*, Skand and Sun, Weihao and Singh, Gautam and Deng, Fei and Jiang, Jindong and Ahn, Sungjin},title={SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition},journal={International Conference on Learning Representations},year={2020},}
T-PAMI
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
Deepak Babu Sam*, Skand Peri*, M. N. Sundararaman, Amogh Kamath, and R. Venkatesh Babu
IEEE Transaction on Pattern Analysis and Machine Intelligence, 2020
@article{LSCCNN,author={Sam*, Deepak Babu and Peri*, Skand and Sundararaman, M. N. and Kamath, Amogh and Babu, R. Venkatesh},title={Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection},journal={IEEE Transaction on Pattern Analysis and Machine Intelligence},year={2020},}
WACV
Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds
Deepak Babu Sam*, Skand Peri*, M. N. Sundararaman, and R. Venkatesh Babu
Winter Conference on Applications of Computer Vision, 2020
@article{DDCNN20,author={Sam*, Deepak Babu and Peri*, Skand and Sundararaman, M. N. and Babu, R. Venkatesh},title={Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds},journal={Winter Conference on Applications of Computer Vision},year={2020},}
2018
ACMMM
Deep Cross modal learning for Caricature Verification and Identification (CaVINet)
Jatin Garg, Skand Peri*, Himanshu Tolani, and Narayana.C Krishnan
@article{CaVINet_ACMMM18,author={Garg, Jatin and Peri*, Skand and Tolani, Himanshu and Krishnan, Narayana.C},title={Deep Cross modal learning for Caricature Verification and Identification (CaVINet)},journal={ACM Multimedia},year={2018},}
MICCAI-W
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net For Multi-Modal Alzheimer’s Classification
Apoorva Sikka, Skand Peri, and Deepti.R Bathula
MICCAI Workshop on Simulation and Synthesis in Medical Imaging, 2018
@article{MRI2PET_MICCAI,author={Sikka, Apoorva and Peri, Skand and Bathula, Deepti.R},title={ MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net For Multi-Modal Alzheimer's Classification},journal={MICCAI Workshop on Simulation and Synthesis in Medical Imaging},year={2018},}
CVPR-W
DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild
Skand Peri, and Abhinav Dhall
Computer Vision and Pattern Recognition Workshops (CVPRW), 2018
@article{DisguiseNetCVPRW,author={Peri, Skand and Dhall, Abhinav},title={DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild},journal={Computer Vision and Pattern Recognition Workshops (CVPRW)},year={2018},}