Search Results for author:
Found 15 papers, 2 papers with code
STT: Stateful Tracking with Transformers for Autonomous Driving
In this paper, we propose STT, a Stateful Tracking model built with Transformers, that can consistently track objects in the scenes while also predicting their states accurately.
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
An edge in the graph encodes the relative distance information between a pair of target and reference objects.
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking
Monocular image-based 3D perception has become an active research area in recent years owing to its applications in autonomous driving.
SoDA: Multi-Object Tracking with Soft Data Association
Robust multi-object tracking (MOT) is a prerequisite fora safe deployment of self-driving cars.
Uncertainty Modeling of Contextual-Connections between Tracklets for Unconstrained Video-based Face Recognition
In this paper, we propose the Uncertainty-Gated Graph (UGG), which conducts graph-based identity propagation between tracklets, which are represented by nodes in a graph.
Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
This encourages the network to preserve the geometric structure in Euclidean space throughout the feature extraction hierarchy.
Layout-induced Video Representation for Recognizing Agent-in-Place Actions
We address the recognition of agent-in-place actions, which are associated with agents who perform them and places where they occur, in the context of outdoor home surveillance.
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale Home Surveillance Videos
To dramatically speedup relevant motion event detection and improve its performance, we propose a novel network for relevant motion event detection, ReMotENet, which is a unified, end-to-end data-driven method using spatial-temporal attention-based 3D ConvNets to jointly model the appearance and motion of objects-of-interest in a video.
VITON: An Image-based Virtual Try-on Network
We present an image-based VIirtual Try-On Network (VITON) without using 3D information in any form, which seamlessly transfers a desired clothing item onto the corresponding region of a person using a coarse-to-fine strategy.
NISP: Pruning Networks using Neuron Importance Score Propagation
In contrast, we argue that it is essential to prune neurons in the entire neuron network jointly based on a unified goal: minimizing the reconstruction error of important responses in the "final response layer" (FRL), which is the second-to-last layer before classification, for a pruned network to retrain its predictive power.
Dynamic Zoom-in Network for Fast Object Detection in Large Images
We introduce a generic framework that reduces the computational cost of object detection while retaining accuracy for scenarios where objects with varied sizes appear in high resolution images.
C-WSL: Count-guided Weakly Supervised Localization
We introduce count-guided weakly supervised localization (C-WSL), an approach that uses per-class object count as a new form of supervision to improve weakly supervised localization (WSL).
Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation
Understanding visual relationships involves identifying the subject, the object, and a predicate relating them.
Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval
Since interactions between objects can be reduced to a limited set of atomic spatial relations in 3D, we study the possibility of inferring 3D structure from a text description rather than an image, applying physical relation models to synthesize holistic 3D abstract object layouts satisfying the spatial constraints present in a textual description.
The Role of Context Selection in Object Detection
We investigate the reasons why context in object detection has limited utility by isolating and evaluating the predictive power of different context cues under ideal conditions in which context provided by an oracle.
