research
∙
05/31/2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Vision and Language (VL) models offer an effective method for aligning r...
share
research
∙
05/10/2023
Incorporating Structured Representations into Pretrained Vision Language Models Using Scene Graphs
Vision and Language (VL) models have demonstrated remarkable zero-shot p...
research
∙
12/08/2022
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data
Action recognition models have achieved impressive results by incorporat...
research
∙
11/21/2022
Teaching Structured Vision Language Concepts to Vision Language Models
Vision and Language (VL) models have demonstrated remarkable zero-shot p...
research
∙
09/08/2022
FETA: Towards Specializing Foundation Models for Expert Task Applications
Foundation Models (FMs) have demonstrated unprecedented capabilities inc...
research
∙
06/15/2022
Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022
This technical report describes the SViT approach for the Ego4D Point of...
research
∙
06/13/2022
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens
Recent action recognition models have achieved impressive results by int...
research
∙
12/04/2021
Unsupervised Domain Generalization by Learning a Bridge Across Domains
The ability to generalize learned representations across significantly d...
research
∙
10/13/2021
Object-Region Video Transformers
Evidence from cognitive psychology suggests that understanding spatio-te...
research
∙
06/08/2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Unsupervised pretraining has recently proven beneficial for computer vis...
research
∙
09/30/2020
Learning Object Detection from Captions via Textual Scene Attributes
Object detection is a fundamental task in computer vision, requiring lar...
research
∙
06/27/2020
Compositional Video Synthesis with Action Graphs
Videos of actions are complex spatio-temporal signals, containing rich c...
research
∙
12/20/2019
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks
Human action is naturally compositional: humans can easily recognize and...
research
∙
12/16/2019
Learning Canonical Representations for Scene Graph to Image Generation
Generating realistic images of complex visual scenes becomes very challe...
research
∙
05/01/2019
Accurate Visual Localization for Automotive Applications
Accurate vehicle localization is a crucial step towards building effecti...
research
∙
04/01/2019
Precise Detection in Densely Packed Scenes
Man-made scenes can be densely packed, containing numerous objects, ofte...
research
∙
02/26/2019
Learning Latent Scene-Graph Representations for Referring Relationships
Understanding the semantics of complex visual scenes often requires anal...
research
∙
12/04/2018
Classifying Collisions with Spatio-Temporal Action Graph Networks
Events defined by the interaction of objects in a scene often are of cri...
research
∙
02/15/2018
