Abhishek Sharma

27 papers · 2013–2025 · 15 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (15) 🏃 Academic Marathon (12) 🗺️ Taxonomy Completionist (50)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (7) 🏆 Keyword Champion 🧬 Topic Evolution 📈 Trend Setter 🚀 Conference Pioneer 💎 Century Club (27) 🔥 Unstoppable (5) ⚡ Prolific Year (5) 🗃️ Keyword Collector (103)

Conferences

CVPR (5) ECCV (3) ICCV (3) NIPS (3) AAAI (2) EMNLP (2) ACL (1) AISTATS (1) COLING (1) CONLL (1) ICLR (1) MIDL (1) MLHC (1) NSDI (1) WACV (1)

Top co-authors

Ziyan Wu (5) Terrence Chen (5) Zhongpai Gao (3) Finale Doshi-velez (3) Maks Ovsjanikov (3) Benjamin Planche (3) Arjun Jain (3) Meng Zheng (3) Sonali Parbhoo (2) Oncel Tuzel (2)

Research topics

Privacy (1)

Keywords

shape matching (3) object detection (3) functional map (3) semantic segmentation (3) knowledge distillation (2) semi-supervised learning (2) federated learning (2) recursive neural network (2) 3d shape (2) context propagation (2) weakly supervised learning (2) question answering (2) shape correspondence (1) feature learning (1) video segmentation (1) scene understanding (1) representation learning (1) pose estimation (1) data augmentation (1) ensemble learning (1)

Papers

Automated Patient Positioning with Learned 3D Hand Gestures WACV 2025 Decision-Point Guided Safe Policy Improvement AISTATS 2025 Decision-Focused Model-based Reinforcement Learning for Reward Transfer MLHC 2024 PBADet: A One-Stage Anchor-Free Approach for Part-Body Association ICLR 2024 Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images ECCV 2024 Re-DiffiNet: Modeling discrepancy in tumor segmentation using diffusion models MIDL 2024 Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation AAAI 2022 Interactive Post-Editing for Verbosity Controlled Translation COLING 2022 A Joint Learning Approach for Semi-supervised Neural Topic Modeling ACL 2022 Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021 Adapting Neural Machine Translation for Automatic Post-Editing EMNLP 2021 Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence CVPR 2020 Weakly Supervised Deep Functional Maps for Shape Matching NIPS 2020 Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation CVPR 2020 Neural Conversational QA: Learning to Reason vs Exploiting Patterns EMNLP 2020 Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases AAAI 2019 Unsupervised Deep Learning for Structured Shape Matching ICCV 2019 Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking ICCV 2019 DYAN: A Dynamical Atoms-Based Network For Video Prediction ECCV 2018 Foreground Clustering for Joint Segmentation and Localization in Videos and Images NIPS 2018 R-FCN-3000 at 30fps: Decoupling Detection and Classification CVPR 2018 IIT(BHU)–IIITH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection CONLL 2018 Learning 3D Human Pose from Structure and Motion ECCV 2018 Deep Hierarchical Parsing for Semantic Segmentation CVPR 2015 Recursive Context Propagation Network for Semantic Scene Labeling NIPS 2014 Scalable Rule Management for Data Centers NSDI 2013 A Sentence Is Worth a Thousand Pixels CVPR 2013