Search Results for author:
Found 10 papers, 4 papers with code
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
In order to learn such a scalable depth estimation model, we require a ton of data and labels which are targeted towards specific use-cases.
Interactive Ontology Matching with Cost-Efficient Learning
The creation of high-quality ontologies is crucial for data integration and knowledge-based reasoning, specifically in the context of the rising data economy.
Friends Across Time: Multi-Scale Action Segmentation Transformer for Surgical Phase Recognition
Current state-of-the-art methods use both spatial and temporal information to tackle the surgical phase recognition task.
Full-State Prescribed Performance-Based Consensus of Double-Integrator Multi-Agent Systems with Jointly Connected Topologies
To improve the transient performance, a distributed prescribed performance control protocol consisting of the transformed relative position and the transformed relative velocity is proposed, where the communication topology satisfies the jointly connected assumption.
General Image-to-Image Translation with One-Shot Image Guidance
Inspired by this, we propose a novel framework named visual concept translator (VCT) with the ability to preserve content in the source image and translate the visual concepts guided by a single reference image.
DiscreteCommunication and ControlUpdating in Event-Triggered Consensus
Noting that the existing related results only meeting one or two demands at most are essentially not applicable, in this paper we establish a novel framework to solve the problem of fully distributed consensus with discrete communication and control.
Vi-Fi: Associating Moving Subjects across Vision and Wireless Sensors
In this paper, we present Vi-Fi, a multi-modal system that leverages a user’s smartphone WiFi Fine Timing Measurements (FTM) and inertial measurement unit (IMU) sensor data to associate the user detected on a camera footage with their corresponding smartphone identifier (e. g. WiFi MAC address).
AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral Transformations
Existing tensor compilers have proven their effectiveness in deploying deep neural networks on general-purpose hardware like CPU and GPU, but optimizing for neural processing units (NPUs) is still challenging due to the heterogeneous compute units and complicated memory hierarchy.
$S^3$Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
We present $S^3$Net, a self-supervised framework which combines these complementary features: we use synthetic and real-world images for training while exploiting geometric, temporal, as well as semantic constraints.
PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction
We therefore propose a novel Position-Velocity Recurrent Encoder-Decoder (PVRED) for human motion prediction, which makes full use of pose velocities and temporal positional information.
