activity
20142022
most citedUnsupervised Learning of View-invariant Action Representations

90 citations · 326 across the 21 of their papers we have counts for

collaborators
Showing 2018Show all

8 papers · 1 filter

cs.CV2018★ 2 cited

Visual Social Relationship Recognition

Junnan Li, Yongkang Wong, Qi Zhao +1

Social relationships form the basis of social structure of humans. Developing computational models to understand social relationships from visual data is essential for building int…

cs.LG2018

Learning to Learn from Noisy Labeled Data

Junnan Li, Yongkang Wong, Qi Zhao +1

Despite the success of deep neural networks (DNNs) in image classification tasks, the human-level performance relies on massive training data with high-quality manual annotations,…

cs.CV2018★ 90 cited

Unsupervised Learning of View-invariant Action Representations

Junnan Li, Yongkang Wong, Qi Zhao +1

The recent success in human action recognition with deep learning methods mostly adopt the supervised learning paradigm, which requires significant amount of manually labeled data…

cs.CV2018★ 16 cited

Interact as You Intend: Intention-Driven Human-Object Interaction Detection

Bingjie Xu, Junnan Li, Yongkang Wong +2

The recent advances in instance-level detection tasks lay strong foundation for genuine comprehension of the visual scenes. However, the ability to fully comprehend a social scene…

cs.CV2018★ 1 cited

Egocentric Spatial Memory

Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen +3

Egocentric spatial memory (ESM) defines a memory system with encoding, storing, recognizing and recalling the spatial information about the environment from an egocentric perspecti…

cs.CV2018★ 57 cited

Finding any Waldo: zero-shot invariant and efficient visual search

Mengmi Zhang, Jiashi Feng, Keng Teck Ma +3

Searching for a target object in a cluttered scene constitutes a fundamental challenge in daily vision. Visual search must be selective enough to discriminate the target from distr…

cs.CV2018

What am I Searching for: Zero-shot Target Identity Inference in Visual Search

Mengmi Zhang, Gabriel Kreiman

Can we infer intentions from a person's actions? As an example problem, here we consider how to decipher what a person is searching for by decoding their eye movement behavior. We…

cs.MM2018★ 48 cited

Video Storytelling: Textual Summaries for Events

Junnan Li, Yongkang Wong, Qi Zhao +1

Bridging vision and natural language is a longstanding goal in computer vision and multimedia research. While earlier works focus on generating a single-sentence description for vi…