169 citations · 661 across the 22 of their papers we have counts for
8 papers · 1 filter
The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects
Ruohan Gao, Yiming Dou, Hao Li +5
We introduce the ObjectFolder Benchmark, a benchmark suite of 10 tasks for multisensory object-centric learning, centered around object recognition, reconstruction, and manipulatio…
Partial-View Object View Synthesis via Filtered Inversion
Fan-Yun Sun, Jonathan Tremblay, Valts Blukis +11
We propose Filtering Inversion (FINV), a learning framework and optimization process that predicts a renderable 3D object representation from one or few partial views. FINV address…
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
Zhenfang Chen, Kexin Yi, Yunzhu Li +4
Objects' motions in nature are governed by complex interactions and their properties. While some properties, such as shape and material, can be identified via the object's visual a…
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
Danny Driess, Zhiao Huang, Yunzhu Li +2
We present a method to learn compositional multi-object dynamics models from image observations based on implicit object encoders, Neural Radiance Fields (NeRFs), and graph neural…
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Kexin Yi, Chuang Gan, Yunzhu Li +4
The ability to reason about temporal and causal events from videos lies at the core of human intelligence. Most video reasoning benchmarks, however, focus on pattern recognition fr…
Connecting Touch and Vision via Cross-Modal Prediction
Yunzhu Li, Jun-Yan Zhu, Russ Tedrake +1
Humans perceive the world using multi-modal sensory inputs such as vision, audition, and touch. In this work, we investigate the cross-modal connection between vision and touch. Th…
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning
Yunzhu Li, Andre Esteva, Brett Kuprel +3
Dense object detection and temporal tracking are needed across applications domains ranging from people-tracking to analysis of satellite imagery over time. The detection and track…
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
Yunzhu Li, Benyuan Sun, Tianfu Wu +1
This paper presents a method for face detection in the wild, which integrates a ConvNet and a 3D mean face model in an end-to-end multi-task discriminative learning framework. The…