4 citations · 8 across the 6 of their papers we have counts for
8 papers
MVP-Nav: Multi-layer Value Map Planner Navigator
Wenyuan Xie, Shaokai Wu, Yijin Zhou +7
Zero-shot Object Goal Navigation (ZSON) with RGB-only perception poses a fundamental challenge for embodied agents, as the absence of explicit depth information introduces severe p…
RelAfford6D: Relational 6D Affordance Graphs for Constraint-Driven Robotic Manipulation
Guodong Zhang, Qichen He, Wenyuan Xie +6
Bridging abstract semantics and precise physical control remains a fundamental challenge in open-world robotic manipulation. While recent data-driven policies show promise, their r…
Dejavu: Towards Experience Feedback Learning for Embodied Intelligence
Shaokai Wu, Yanbiao Ji, Qiuchang Li +7
Embodied agents face a fundamental limitation: once deployed in real-world environments, they cannot easily acquire new knowledge to improve task performance. In this paper, we pro…
Task Indicating Transformer for Task-conditional Dense Predictions
Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli +3
The task-conditional model is a distinctive stream for efficient multi-task learning. Existing works encounter a critical limitation in learning task-agnostic and task-specific rep…
RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer
Bayram Bayramli, Junhwa Hur, Hongtao Lu
Learning scene flow from a monocular camera still remains a challenging task due to its ill-posedness as well as lack of annotated data. Self-supervised methods demonstrate learnin…
Temporal Continuity Based Unsupervised Learning for Person Re-Identification
Usman Ali, Bayram Bayramli, Hongtao Lu
Person re-identification (re-id) aims to match the same person from images taken across multiple cameras. Most existing person re-id methods generally require a large amount of ide…
FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network
Bayram Bayramli, Usman Ali, Te Qi +1
There are many factors affecting visual face recognition, such as low resolution images, aging, illumination and pose variance, etc. One of the most important problem is low resolu…
Spatial Shortcut Network for Human Pose Estimation
Te Qi, Bayram Bayramli, Usman Ali +2
Like many computer vision problems, human pose estimation is a challenging problem in that recognizing a body part requires not only information from local area but also from areas…