Search Results for author:
Found 10 papers, 7 papers with code
CarcassFormer: An End-to-end Transformer-based Framework for Simultaneous Localization, Segmentation and Classification of Poultry Carcass Defect
This study proposes an effective approach for automating the assessment of carcass quality without requiring skilled labor or inspector involvement.
Bridging Associative Memory and Probabilistic Modeling
Based on the observation that associative memory's energy functions can be seen as probabilistic modeling's negative log likelihoods, we build a bridge between the two that enables useful flow of ideas in both directions.
GAUCHE: A Library for Gaussian Processes in Chemistry
By defining such kernels in GAUCHE, we seek to open the door to powerful tools for uncertainty quantification and Bayesian optimisation in chemistry.
VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
Video paragraph captioning aims to generate a multi-sentence description of an untrimmed video with several temporal event locations in coherent storytelling.
Ranked #2 on
Video Captioning
on ActivityNet Captions
AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation
PMR module represents each video snippet by a visual-linguistic feature, in which main actors and surrounding environment are represented by visual information, whereas relevant objects are depicted by linguistic features through an image-text model.
Wildfire Forecasting with Satellite Images and Deep Generative Model
This paper addresses these issues by introducing a novel stochastic temporal model whose dynamics are driven in a latent space.
VLCap: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning
In this paper, we leverage the human perceiving process, that involves vision and language interaction, to generate a coherent paragraph description of untrimmed videos.
Ranked #3 on
Video Captioning
on ActivityNet Captions
ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
Temporal action proposal generation (TAPG) aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet plays an important role in many tasks of video analysis and understanding.
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
In this paper, we make an attempt to simulate that ability of a human by proposing Actor Environment Interaction (AEI) network to improve the video representation for temporal action proposals generation.
Visualizing Income Distribution in the United States
To effectively communicate the effect of income inequality on the quality of life and among the strata, we have designed a novel technique for visualizing income distribution and inequality over time by using the U. S. household income microdata from the Current Population Survey.
