Rohit Gupta
16 papers · 2014–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Gold 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🗺️ Taxonomy Completionist (27) 👥 Mega-Team · Legion
💎
Century Club · Bronze
🗃️
Keyword Collector
(55)
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI · Artificial Intelligence
(9)
Computer Vision
(6)
Deep Learning
(3)
Machine Learning
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Processing
(3)
Natural Language Processing
(2)
Analysis
(2)
Interdisciplinary
(1)
Applications
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Domain-Specific
(1)
Keywords
contrastive learning
(3)
question answering
(2)
self-supervised learning
(2)
multimodal learning
(2)
large multimodal model
(2)
autonomous driving
(2)
scene understanding
(1)
adversarial robustness
(1)
conversational ai
(1)
multilingual nlp
(1)
adversarial learning
(1)
trajectory prediction
(1)
multi-label classification
(1)
code generation
(1)
interpretable machine learning
(1)
image retrieval
(1)
benchmark evaluation
(1)
video understanding
(1)
video retrieval
(1)
image classification
(1)
Papers
GAEA: A Geolocation Aware Conversational Assistant
WACV 2026
VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale
CVPR 2026
ViLL-E: Video LLM Embeddings for Retrieval
ACL 2026
VRR-QA: Visual Relational Reasoning in Videos Beyond Explicit Cues
CVPR 2026
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
CVPR 2025
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
ICCV 2025
Driving Through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving
WACV 2024
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
CVPR 2024
Open Vocabulary Multi-Label Video Classification
ECCV 2024
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
CVPR 2023
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility
AAAI 2023
WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity
SemEval 2016
MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity
SemEval 2015
ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks
EMNLP 2015
USAAR-WLV: Hypernym Generation with Deep Neural Nets
SemEval 2015
UoW: NLP techniques developed at the University of Wolverhampton for Semantic Similarity and Textual Entailment
SemEval 2014