Pranav Singh Chib

Orcid: 0000-0003-4930-3937

According to our database1, Pranav Singh Chib authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Dual-view diffusion for pedestrian trajectory imputation.
Neural Networks, 2026

Leveraging language prior for infrared small target detection.
Neurocomputing, 2026

Multi-scale hypergraphs for trajectory imputation and prediction in real-world scenarios.
Expert Syst. Appl., 2026

2025
CCF: Cross Correcting Framework for pedestrian trajectory prediction in multi-agent traffic scenarios.
Inf. Fusion, 2025

LG-Traj: LLM Guided Pedestrian Trajectory Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

AutoConcept: Unsupervised Extraction of Constituent Concepts from Single Image.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey.
IEEE Trans. Intell. Veh., January, 2024

Improving trajectory prediction in dynamic multi-agent environment by dropping waypoints.
Knowl. Based Syst., 2024

CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction.
CoRR, 2024

Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

STNet: Small Target Detection Network for IR Imagery.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MS-TIP: Imputation Aware Pedestrian Trajectory Prediction.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction.
CoRR, 2023

2022
A Computational Study on Calibrated VGG19 for Multimodal Learning and Representation in Surveillance.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022


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