Eric P. Xing

TL;DR: A new way of stylistic control is studied by using existing sentences as “soft” templates, that is, a model learns to imitate the writing style of any given exemplar sentence, with automatic adaptions to faithfully describe the record.

TL;DR: A novel Multi-Level Structured Image Coding approach to uncover the structure embedded in representations with rich regular structural information by learning a structured dictionary from Object Bank, which can compute a lower-dimensional and more compact encoding of the image features while preserving and accentuating the rich semantic and spatial information of OB.

TL;DR: This paper studies the estimation of an $m$-state hidden Markov model (HMM) with only smoothness assumptions, such as Holderian conditions, on the emission densities and develops a computationally efficient spectral algorithm for learning nonparametric HMMs.

TL;DR: A distinguished panel of eminent scientists, from both Industry and Academia, will share their point of view and take questions from the moderator and the audience to answer what Big Data means from a scientific perspective.

TL;DR: Semantic-Aligned-Matching DETR++ (SAM-DETR++) is a plug-and-play module that projects object queries and encoded image features into the same feature embedding space, where each object query can be easily matched to relevant regions with similar semantics.