A unified framework for multi-view multi-class object pose estimation
One core challenge in object pose estimation is to ensure accurate and robust performance
for large numbers of diverse foreground objects amidst complex background clutter. In this …
for large numbers of diverse foreground objects amidst complex background clutter. In this …
Sim4cv: A photo-realistic simulator for computer vision applications
We present a photo-realistic training and evaluation simulator (Sim4CV)(http://www. sim4cv.
org) with extensive applications across various fields of computer vision. Built on top of the …
org) with extensive applications across various fields of computer vision. Built on top of the …
Smd-nets: Stereo mixture density networks
Despite stereo matching accuracy has greatly improved by deep learning in the last few
years, recovering sharp boundaries and high-resolution outputs efficiently remains …
years, recovering sharp boundaries and high-resolution outputs efficiently remains …
Simvqa: Exploring simulated environments for visual question answering
Existing work on VQA explores data augmentation to achieve better generalization by
perturbing the images in the dataset or modifying the existing questions and answers. While …
perturbing the images in the dataset or modifying the existing questions and answers. While …
Adafuse: Adaptive multiview fusion for accurate human pose estimation in the wild
Occlusion is probably the biggest challenge for human pose estimation in the wild. Typical
solutions often rely on intrusive sensors such as IMUs to detect occluded joints. To make the …
solutions often rely on intrusive sensors such as IMUs to detect occluded joints. To make the …
ViZDoom Competitions: Playing Doom From Pixels
This paper presents the first two editions of Visual Doom AI Competition, held in 2016 and
2017. The challenge was to create bots that compete in a multiplayer deathmatch in a first …
2017. The challenge was to create bots that compete in a multiplayer deathmatch in a first …
Unrealperson: An adaptive pipeline towards costless person re-identification
The main difficulty of person re-identification (ReID) lies in collecting annotated data and
transferring the model across different domains. This paper presents UnrealPerson, a novel …
transferring the model across different domains. This paper presents UnrealPerson, a novel …
End-to-end active object tracking and its real-world deployment via reinforcement learning
We study active object tracking, where a tracker takes visual observations (ie, frame
sequences) as input and produces the corresponding camera control signals as output (eg …
sequences) as input and produces the corresponding camera control signals as output (eg …
Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
Existing one-shot 4D head synthesis methods usually learn from monocular videos with the
aid of 3DMM reconstruction yet the latter is evenly challenging which restricts them from …
aid of 3DMM reconstruction yet the latter is evenly challenging which restricts them from …
A Review on Viewpoints and Path Planning for UAV-Based 3-D Reconstruction
Unmanned aerial vehicles (UAVs) are widely used platforms to carry data capturing sensors
for various applications. The reason for this success can be found in many aspects: the high …
for various applications. The reason for this success can be found in many aspects: the high …