Deep learning (DL) package supply chains (SCs) are critical for DL frame...
Object rearrangement is a fundamental sub-task in accomplishing a great ...
Effectively rearranging heterogeneous objects constitutes a high-utility...
The automatic pill recognition system is of great significance in improv...
New intent discovery is of great value to natural language processing,
a...
For rearranging objects on tabletops with overhand grasps, temporarily
r...
Inter-modal interaction plays an indispensable role in multimodal sentim...
Performing object retrieval tasks in messy real-world workspaces involve...
We investigate the utility of employing multiple buffers in solving a cl...
Multimodal sentiment analysis (MSA), which supposes to improve text-base...
Continual Machine Reading Comprehension aims to incrementally learn from...
We investigate the problem of coordinating two robot arms to solve
non-m...
Release notes (RNs) summarize main changes between two consecutive softw...
M-SENA is an open-sourced platform for Multimodal Sentiment Analysis. It...
Continual relation extraction (CRE) aims to continuously train a model o...
In this paper, we examine the problem of rearranging many objects on a
t...
We investigate the capacitated vehicle routing problem (CVRP) under a
ro...
For tabletop rearrangement problems with overhand grasps, storage space
...
Instance level detection and segmentation of thoracic diseases or
abnorm...
We carry out a structural and algorithmic study of a mobile sensor cover...
Object rearrangement is a widely-applicable and challenging task for rob...
We investigate the problem of optimally assigning a large number of robo...