Search Results for author:
Found 12 papers, 0 papers with code
MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering
We employ the LLaVA open-source model to answer multimodal physics MCQs and compare the performance with and without using RLHF.
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting
While Large Language Models (LLMs) can achieve human-level performance in various tasks, they continue to face challenges when it comes to effectively tackling multi-step physics reasoning tasks.
Generative AI in Vision: A Survey on Models, Metrics and Applications
Generative AI models have revolutionized various fields by enabling the creation of realistic and diverse data samples.
End-to-end Autonomous Driving using Deep Learning: A Systematic Review
End-to-end autonomous driving is a fully differentiable machine learning system that takes raw sensor input data and other metadata as prior information and directly outputs the ego vehicle's control signals or planned trajectories.
A Review on Objective-Driven Artificial Intelligence
In this article, we review the prospective Machine Intelligence candidates, a review from Prof. Yann LeCun, and other work that can help close this gap between human and machine intelligence.
Training Strategies for Vision Transformers for Object Detection
In this paper, we evaluated a variety of strategies to optimize on the inference-time of vision transformers based object detection methods keeping a close-watch on any performance variations.
Trajectory-Prediction with Vision: A Survey
To plan a safe and efficient route, an autonomous vehicle should anticipate future trajectories of other agents around it.
Transformer-Based Sensor Fusion for Autonomous Driving: A Survey
Moreover, we also briefly go through few of the non-transformer based less-dominant methods for sensor fusion for autonomous driving.
3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection
Firstly, we update multi-view features by multi-view axis self-attention.
Surround-View Vision-based 3D Detection for Autonomous Driving: A Survey
In this paper we provide a literature survey for the existing Vision Based 3D detection methods, focused on autonomous driving.
Vision-RADAR fusion for Robotics BEV Detections: A Survey
First we go through the background information viz., object detection tasks, choice of sensors, sensor setup, benchmark datasets and evaluation metrics for a robotic perception system.
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches
Therefore, it is required to provide high-quality interpretable, and understandable explanations for a model's prediction in sports.
Decision Making
Explainable Artificial Intelligence (XAI)
+2
