activity
20172026
most citedHumans in 4D: Reconstructing and Tracking Humans with Transformers

10 citations · 16 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IR2026

Orchestrating Specialized Agents for Trustworthy Enterprise RAG

Xincheng You, Qi Sun, Neha Bora +4

Retrieval-Augmented Generation (RAG) shows promise for enterprise knowledge work, yet it often underperforms in high-stakes decision settings that require deep synthesis, strict tr…

cs.CV2026

How Does India Cook Biryani?

Shubham Goel, Farzana S, C V Rishi +2

Biryani, one of India's most celebrated dishes, exhibits remarkable regional diversity in its preparation, ingredients, and presentation. With the growing availability of online co…

cs.CV2024

The More You See in 2D, the More You Perceive in 3D

Xinyang Han, Zelin Gao, Angjoo Kanazawa +2

Humans can infer 3D structure from 2D images of an object based on past experience and improve their 3D understanding as they see more images. Inspired by this behavior, we introdu…

cs.CV2024

Spatial Cognition from Egocentric Video: Out of Sight, Not Out of Mind

Chiara Plizzari, Shubham Goel, Toby Perrett +3

As humans move around, performing their daily tasks, they are able to recall where they have positioned objects in their environment, even if these objects are currently out of the…

cs.CV2023★ 10 cited

Humans in 4D: Reconstructing and Tracking Humans with Transformers

Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran +2

We present an approach to reconstruct humans and track them over time. At the core of our approach, we propose a fully "transformerized" version of a network for human mesh recover…

cs.CV2021

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding

Jasmine Collins, Shubham Goel, Kenan Deng +9

We introduce Amazon Berkeley Objects (ABO), a new large-scale dataset designed to help bridge the gap between real and virtual 3D worlds. ABO contains product catalog images, metad…

cs.CV2021

Differentiable Stereopsis: Meshes from multiple views using differentiable rendering

Shubham Goel, Georgia Gkioxari, Jitendra Malik

We propose Differentiable Stereopsis, a multi-view stereo approach that reconstructs shape and texture from few input views and noisy cameras. We pair traditional stereopsis and mo…

cs.CV2020

Shape and Viewpoint without Keypoints

Shubham Goel, Angjoo Kanazawa, Jitendra Malik

We present a learning framework that learns to recover the 3D shape, pose and texture from a single image, trained on an image collection without any ground truth 3D shape, multi-v…

cs.LO2018★ 5 cited

What's hard about Boolean Functional Synthesis

S. Akshay, Supratik Chakraborty, Shubham Goel +2

Given a relational specification between Boolean inputs and outputs, the goal of Boolean functional synthesis is to synthesize each output as a function of the inputs such that the…

cs.DC2017★ 1 cited

Computing Scores of Forwarding Schemes in Switched Networks with Probabilistic Faults

Guy Avni, Shubham Goel, Thomas A. Henzinger +1

Time-triggered switched networks are a deterministic communication infrastructure used by real-time distributed embedded systems. Due to the criticality of the applications running…