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ORCIDShubham Garg
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2020 – today
- 2025
[j3]Shubham Garg
, Kanika Monga, Nitin Chaturvedi, S. Gurunarayanan:
Tunable Energy-Efficient Approximate Circuits for Self-Powered AI and Autonomous Edge Computing Systems. IEEE Access 13: 43607-43630 (2025)- [i6]Shivansh Patel, Xinchen Yin, Wenlong Huang, Shubham Garg, Hooshang Nayyeri, Li Fei-Fei, Svetlana Lazebnik, Yunzhu Li:
A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards. CoRR abs/2502.08643 (2025) - [i5]Jinjiang You, Hewei Wang, Yijie Li, Mingxiao Huo, Long Van Tran Ha, Mingyuan Ma, Jinfeng Xu, Puzhen Wu, Shubham Garg, Wei Pu:
Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration. CoRR abs/2503.00737 (2025) - 2024
- [c7]Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li:
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation. CoRL 2024: 3027-3052 - [c6]Ankita Garg, Ajoy Kumar, Shubham Garg, Laxmidhar Behera, Varun Dutt:
VR-Based Mantra Meditation for Mental Wellness. SMC 2024: 5415-5421 - [i4]Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li:
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation. CoRR abs/2402.15487 (2024) - 2023
- [j2]Shubham Garg, Aman Saxena, Richa Gupta:
Yoga pose classification: a CNN and MediaPipe inspired deep learning approach for real-world application. J. Ambient Intell. Humaniz. Comput. 14(12): 16551-16562 (2023) - [j1]Naresh Kumar, Juveria Manzar, Shivani, Shubham Garg:
Underwater Image Enhancement using Deep Learning. Multim. Tools Appl. 82(30): 46789-46809 (2023) - [c5]I-Hung Hsu, Avik Ray, Shubham Garg, Nanyun Peng, Jing Huang:
Code-Switched Text Synthesis in Unseen Language Pairs. ACL (Findings) 2023: 5137-5151 - [c4]Hemanth Bysani, Shubham Garg, Aashritha Danda, Tripty Singh, C. Jyotsna, Prakash Duraisamy:
Detection of Pneumonia in Chest X-Ray Using Ensemble Learners and Transfer Learning with Deep Learning Models. ICCCNT 2023: 1-8 - [c3]Gyeongsik Moon, Shunsuke Saito, Weipeng Xu, Rohan Joshi, Julia Buffalini, Harley Bellan, Nicholas Rosen, Jesse Richardson, Mallorie Mize, Philippe de Bree, Tomas Simon, Bo Peng, Shubham Garg, Kevyn McPhail, Takaaki Shiratori:
A Dataset of Relighted 3D Interacting Hands. NeurIPS 2023 - [c2]Dustin Axman, Avik Ray, Shubham Garg, Jing Huang:
Contextual Data Augmentation for Task-Oriented Dialog Systems. PKDD/ECML Workshops (5) 2023: 3-12 - [i3]I-Hung Hsu, Avik Ray, Shubham Garg, Nanyun Peng, Jing Huang:
Code-Switched Text Synthesis in Unseen Language Pairs. CoRR abs/2305.16724 (2023) - [i2]Dustin Axman, Avik Ray, Shubham Garg, Jing Huang:
Contextual Data Augmentation for Task-Oriented Dialog Systems. CoRR abs/2310.10380 (2023) - [i1]Gyeongsik Moon, Shunsuke Saito, Weipeng Xu, Rohan Joshi, Julia Buffalini, Harley Bellan, Nicholas Rosen, Jesse Richardson, Mallorie Mize, Philippe de Bree, Tomas Simon, Bo Peng, Shubham Garg, Kevyn McPhail, Takaaki Shiratori:
A Dataset of Relighted 3D Interacting Hands. CoRR abs/2310.17768 (2023)
2010 – 2019
- 2019
- [c1]Pranav Gangwar, Satvik Maurya, Shubham Garg, Sakshi Goyal, Aditya S. Kumar, Preyesh Dalmia, Neeta Pandey:
Hardware/Software Co-Design of a High-Speed Othello Solver. MWSCAS 2019: 1223-1226
Coauthor Index
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