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Anuj Srivastava

7 accepted papers

2026

Policy Search via Bayesian Optimization with Temporal Difference Gaussian Processes

ICML 2026poster

Bayesian optimization (BO) is a method commonly used for policy search in problems with low-dimensional policy parameterizations. While it is generally considered data-efficient, existing BO approaches are agnostic to the sequential structure of the optimization objective induced by policy roll-outs…

Cited by 0SourceScholar
2025

Dynamic Neural Surfaces for Elastic 4D Shape Representation and Analysis

CVPR 2025poster

We propose a novel framework for the statistical analysis of genus-zero 4D surfaces, i.e., 3D surfaces that deform and evolve overtime. This problem is particularly challenging due to the arbitrary parameterizations of these surfaces and their varying deformation speeds, necessitating effective spat…

Cited by 0SourcePDFScholar
2024

A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures

ECCV 2024oral

"We propose the first comprehensive approach for modeling and analyzing the spatiotemporal shape variability in tree-like 4D objects, 3D objects whose shapes bend, stretch and change in their branching structure over time as they deform, grow, and interact with their environment. Our key contributio…

2022

Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration

ECCV 2022poster

"Graph-based representations are becoming increasingly popular for representing and analyzing video data, especially in object tracking and scene understanding applications. Accordingly, an essential tool in this approach is to generate statistical inferences for graphical time series associated wit…

Cited by 5SourcePDFScholar
2021

Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis

CVPR 2021poster

The problem of using covariates to predict shapes of objects in a regression setting is important in many fields. A formal statistical approach, termed geodesic regression model, is commonly used for modeling and analyzing relationships between Euclidean predictors and shape responses. Despite its p…

Cited by 7PDFScholar
2015

Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables

CVPR 2015poster

Human activities observed from visual sensors often give rise to a sequence of smoothly varying features. In many cases, the space of features can be formally defined as a manifold, where the action becomes a trajectory on the manifold. Such trajectories are high dimensional in addition to being non…

Cited by 121SourcePDFScholar
2015

Temporally Coherent Interpretations for Long Videos Using Pattern Theory

CVPR 2015poster

Graph-theoretical methods have successfully provided semantic and structural interpretations of images and videos. A recent paper introduced a pattern-theoretic approach that allows construction of flexible graphs for representing interactions of actors with objects and inference is accomplished by…

Cited by 19SourcePDFScholar