Abhinav Kumar
33 papers · 2019–2026 · 16 conferences · across top CS/AI conferences
Achievements
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Cross-Pollinator
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Conference Polyglot
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Keyword Champion
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Century Club
(33)
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Trend Setter
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Conference Pioneer
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The Questioner
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Prolific Year
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Keyword Collector
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Unstoppable
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Conferences
NIPS (7)
CVPR (5)
ECCV (4)
NAACL (3)
AAAI (2)
ACL (2)
COLING (1)
CORL (1)
EACL (1)
EMNLP (1)
ICCV (1)
ICLR (1)
ICML (1)
MLHC (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
3d object detection
(6)
domain generalization
(4)
depth estimation
(3)
object detection
(3)
ensemble learning
(2)
monocular 3d detection
(2)
monocular detection
(2)
monocular vision
(2)
hate speech detection
(2)
sensor fusion
(2)
multimodal learning
(2)
neural network
(2)
text classification
(2)
logistic regression
(2)
social media analysis
(2)
hope speech detection
(2)
radar-camera fusion
(2)
semantic segmentation
(1)
sentiment analysis
(1)
image classification
(1)
Papers
Bridging the Domain Gap in Small Multimodal Models: A Dual-level Alignment Perspective
WACV 2026
DSLNLP@NLU of Devanagari Script Languages 2025: Leveraging BERT-based Architectures for Language Identification, Hate Speech Detection and Target Classification
COLING 2025
MNLP@DravidianLangTech 2025: Transformers vs. Traditional Machine Learning: Analyzing Sentiment in Tamil Social Media Posts
NAACL 2025
MNLP@DravidianLangTech 2025: Transformer-based Multimodal Framework for Misogyny Meme Detection
NAACL 2025
MNLP@DravidianLangTech 2025: A Deep Multimodal Neural Network for Hate Speech Detection in Dravidian Languages
NAACL 2025
State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings
MLHC 2025
Teaching Transformers Causal Reasoning through Axiomatic Training
ICML 2025
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
ICLR 2025
RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object Detection
CVPR 2025
CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector
ICCV 2025
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
CVPR 2024
Learning Mixtures of Unknown Causal Interventions
NIPS 2024
Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach
ECCV 2024
SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction
ECCV 2024
Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry
ECCV 2024
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
CVPR 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
NIPS 2023
RADIANT: Radar-Image Association Network for 3D Object Detection
AAAI 2023
One-shot Imitation Learning via Interaction Warping
CORL 2023
PrObeD: Proactive Object Detection Wrapper
NIPS 2023
MADG: Margin-based Adversarial Learning for Domain Generalization
NIPS 2023
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
NIPS 2023
SOA_NLP@LT-EDI-ACL2022: An Ensemble Model for Hope Speech Detection from YouTube Comments
ACL 2022
IIITSurat@LT-EDI-ACL2022: Hope Speech Detection using Machine Learning
ACL 2022
Probing Classifiers are Unreliable for Concept Removal and Detection
NIPS 2022
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
ECCV 2022
Offensive language identification in Dravidian code mixed social media text
EACL 2021
Disentangling mixtures of unknown causal interventions
UAI 2021
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI
EMNLP 2021
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
CVPR 2021
Scaling Up Exact Neural Network Compression by ReLU Stability
NIPS 2021
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
CVPR 2020
VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System
AAAI 2019