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08/18/2023
Training with Product Digital Twins for AutoRetail Checkout
Automating the checkout process is important in smart retail, where user...
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07/31/2023
Virtual Prompt Injection for Instruction-Tuned Large Language Models
We present Virtual Prompt Injection (VPI) for instruction-tuned Large La...
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07/20/2023
Instruction-following Evaluation through Verbalizer Manipulation
While instruction-tuned models have shown remarkable success in various ...
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07/17/2023
AlpaGasus: Training A Better Alpaca with Fewer Data
Large language models (LLMs) obtain instruction-following capability thr...
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07/11/2023
The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework
In the context of label-efficient learning on video data, the distillati...
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04/25/2022
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers
We propose an explainable approach for relation extraction that mitigate...
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09/10/2021
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks
The general goal of text simplification (TS) is to reduce text complexit...
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05/02/2020
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
In comparison with person re-identification (ReID), which has been widel...
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04/30/2020
The 4th AI City Challenge
The AI City Challenge was created to accelerate intelligent video analys...
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03/21/2019
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Urban traffic optimization using traffic cameras as sensors is driving t...
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01/09/2019
MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D
Multiple object tracking has been a challenging field, mainly due to noi...
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08/22/2017
