Siniša Todorović

Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction

2016 · arXiv (Cornell University)

This paper is about detecting functional objects and inferring human intentions in surveillance videos of public spaces. People in the videos are expected to intentionally take shortest paths toward functional objects subject to obstacles, where …

Learning to Learn Second-Order Back-Propagation for CNNs Using LSTMs

2018

Convolutional neural networks (CNNs) typically suffer from slow convergence rates in training, which limits their wider application. This paper presents a new CNN learning approach, based on second-order methods, aimed at improving: a) Convergence rates …

iFS-RCNN: An Incremental Few-shot Instance Segmenter

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

This paper addresses incremental few-shot instance seg-mentation, where a few examples of new object classes ar-rive when access to training examples of old classes is not available anymore, and the goal is to perform well …