25 citations · 40 across the 8 of their papers we have counts for
10 papers
HRDX: A Large-Scale Vector HD-Map Dataset
Sahith Reddy Chada, Isht Dwivedi, Nirav Savaliya
Reliable autonomous driving requires vectorized HD maps that are geometrically accurate, semantically rich, and scalable to long-horizon driving. However, existing public HD map da…
Pose-Aware Weakly-Supervised Action Segmentation
Seth Z. Zhao, Reza Ghoddoosian, Isht Dwivedi +2
Understanding human behavior is an important problem in the pursuit of visual intelligence. A challenge in this endeavor is the extensive and costly effort required to accurately l…
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models
Jiacong Xu, Shao-Yuan Lo, Bardia Safaei +2
Zero-Shot Anomaly Detection (ZSAD) is an emerging AD paradigm. Unlike the traditional unsupervised AD setting that requires a large number of normal samples to train a model, ZSAD…
ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos
Reza Ghoddoosian, Nakul Agarwal, Isht Dwivedi +1
Vision-language models (VLMs) are capable of recognizing unseen actions. However, existing VLMs lack intrinsic understanding of procedural action concepts. Hence, they overfit to f…
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla, Chiho Choi, Isht Dwivedi +2
Considering the functionality of situational awareness in safety-critical automation systems, the perception of risk in driving scenes and its explainability is of particular impor…
Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos
Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal +2
This paper addresses a new problem of weakly-supervised online action segmentation in instructional videos. We present a framework to segment streaming videos online at test time u…
SSP: Single Shot Future Trajectory Prediction
Isht Dwivedi, Srikanth Malla, Behzad Dariush +1
We propose a robust solution to future trajectory forecast, which can be practically applicable to autonomous agents in highly crowded environments. For this, three aspects are par…
Dynamic Traffic Scene Classification with Space-Time Coherence
Athma Narayanan, Isht Dwivedi, Behzad Dariush
This paper examines the problem of dynamic traffic scene classification under space-time variations in viewpoint that arise from video captured on-board a moving vehicle. Solutions…
High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures
Iddo Drori, Isht Dwivedi, Pranav Shrestha +13
We tackle the problem of protein secondary structure prediction using a common task framework. This lead to the introduction of multiple ideas for neural architectures based on sta…
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks
Ravi Kiran Sarvadevabhatla, Isht Dwivedi, Abhijat Biswas +2
The ability to semantically interpret hand-drawn line sketches, although very challenging, can pave way for novel applications in multimedia. We propose SketchParse, the first deep…