22 citations · 48 across the 7 of their papers we have counts for
9 papers
PrecisionCUA: Iterative Visual Refinement for Pixel-Precise Cursor Grounding in Code Editors
Himangi Mittal, Gaurav Mittal, Nelson Daniel Troncoso +1
Computer Use Agents (CUAs) fundamentally rely on graphical user interface (GUI) grounding to translate language instructions into executable screen actions, but editing-level groun…
Tracking-Guided 4D Generation: Foundation-Tracker Motion Priors for 3D Model Animation
Su Sun, Cheng Zhao, Himangi Mittal +4
Generating dynamic 4D objects from sparse inputs is difficult because it demands joint preservation of appearance and motion coherence across views and time while suppressing artif…
UniPhy: Learning a Unified Constitutive Model for Inverse Physics Simulation
Himangi Mittal, Peiye Zhuang, Hsin-Ying Lee +1
We propose UniPhy, a common latent-conditioned neural constitutive model that can encode the physical properties of diverse materials. At inference UniPhy allows `inverse simulatio…
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models
Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo +1
We introduce PlausiVL, a large video-language model for anticipating action sequences that are plausible in the real-world. While significant efforts have been made towards anticip…
Learning State-Aware Visual Representations from Audible Interactions
Himangi Mittal, Pedro Morgado, Unnat Jain +1
We propose a self-supervised algorithm to learn representations from egocentric video data. Recently, significant efforts have been made to capture humans interacting with their ow…
Self-Supervised Point Cloud Completion via Inpainting
Himangi Mittal, Brian Okorn, Arpit Jangid +1
When navigating in urban environments, many of the objects that need to be tracked and avoided are heavily occluded. Planning and tracking using these partial scans can be challeng…
Interpreting Context of Images using Scene Graphs
Himangi Mittal, Ajith Abraham, Anuja Arora
Understanding a visual scene incorporates objects, relationships, and context. Traditional methods working on an image mostly focus on object detection and fail to capture the rela…
Just Go with the Flow: Self-Supervised Scene Flow Estimation
Himangi Mittal, Brian Okorn, David Held
When interacting with highly dynamic environments, scene flow allows autonomous systems to reason about the non-rigid motion of multiple independent objects. This is of particular…
STWalk: Learning Trajectory Representations in Temporal Graphs
Supriya Pandhre, Himangi Mittal, Manish Gupta +1
Analyzing the temporal behavior of nodes in time-varying graphs is useful for many applications such as targeted advertising, community evolution and outlier detection. In this pap…