Search Results for author:
Found 14 papers, 7 papers with code
G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations
Based on this unified GPU memory and storage architecture, G10 utilizes compiler techniques to characterize the tensor behaviors in deep learning workloads.
GameGPT: Multi-agent Collaborative Framework for Game Development
The large language model (LLM) based agents have demonstrated their capacity to automate and expedite software development processes.
Symphonize 3D Semantic Scene Completion with Contextual Instance Queries
`3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal undertaking in autonomous driving, aiming to predict voxel occupancy within volumetric scenes.
Ranked #1 on
3D Semantic Scene Completion
on KITTI-360
3D Semantic Scene Completion from a single RGB image
Autonomous Driving
Super-resolution of Ray-tracing Channel Simulation via Attention Mechanism based Deep Learning Model
As an emerging approach, deep learning plays an increasingly influential role in channel modeling.
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation
When using such a pair to predict an object instance on the current frame, not only the generated instance is automatically associated with its precursors on previous frames, but the model gets a good prior for predicting the same object.
MovieCLIP: Visual Scene Recognition in Movies
Longform media such as movies have complex narrative structures, with events spanning a rich variety of ambient visual scenes.
PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation
To overcome these limitations, we propose a unified framework for the DPS task by applying a dynamic convolution technique to both the PS and depth prediction tasks.
IFoodCloud: A Platform for Real-time Sentiment Analysis of Public Opinion about Food Safety in China
The Internet contains a wealth of public opinion on food safety, including views on food adulteration, food-borne diseases, agricultural pollution, irregular food distribution, and food production issues.
SWA Object Detection
In this technique report, we systematically investigate the effects of applying SWA to object detection as well as instance segmentation.
VarifocalNet: An IoU-aware Dense Object Detector
In this paper, we propose to learn an Iou-aware Classification Score (IACS) as a joint representation of object presence confidence and localization accuracy.
Ranked #24 on
Object Detection
on COCO-O
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots
We introduce BenchBot, a novel software suite for benchmarking the performance of robotics research across both photorealistic 3D simulations and real robot platforms.
Robotics
The Probabilistic Object Detection Challenge
We introduce a new challenge for computer and robotic vision, the first ACRV Robotic Vision Challenge, Probabilistic Object Detection.
Probabilistic Object Detection: Definition and Evaluation
We introduce Probabilistic Object Detection, the task of detecting objects in images and accurately quantifying the spatial and semantic uncertainties of the detections.
Deep Free-Form Deformation Network for Object-Mask Registration
In this work, we take a transformation based approach that predicts a 2D non-rigid spatial transform and warps the shape mask onto the target object.
