activity
20172026
most citedEdgeNet: Semantic Scene Completion from a Single RGB-D Image

25 citations · 62 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2026

Rethinking Classifier-Free Guidance for TI2I Flow Matching

Andreas Floros, Elena Koritska, Teofilo de Campos +4

We study Text-and-Image-to-Image (TI2I) flow matching methods for controllable image editing. In a broader generative modeling context, Classifier-Free Guidance (CFG) is establishe…

cs.CV2021

Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors

Aloisio Dourado, Frederico Guth, Teofilo de Campos

Semantic scene completion (SSC) is a challenging Computer Vision task with many practical applications, from robotics to assistive computing. Its goal is to infer the 3D geometry i…

cs.CV2021★ 1 cited

Towards robustness under occlusion for face recognition

Tomas M. Borges, Teofilo E. de Campos, Ricardo de Queiroz

In this paper, we evaluate the effects of occlusions in the performance of a face recognition pipeline that uses a ResNet backbone. The classifier was trained on a subset of the Ce…

cs.CV2021

Domain adaptation for person re-identification on new unlabeled data using AlignedReID++

Tiago de C. G. Pereira, Teofilo E. de Campos

In the world where big data reigns and there is plenty of hardware prepared to gather a huge amount of non structured data, data acquisition is no longer a problem. Surveillance ca…

cs.CV2021

Learn by Guessing: Multi-Step Pseudo-Label Refinement for Person Re-Identification

Tiago de C. G. Pereira, Teofilo E. de Campos

Unsupervised Domain Adaptation (UDA) methods for person Re-Identification (Re-ID) rely on target domain samples to model the marginal distribution of the data. To deal with the lac…

cs.DL2019

Research Frontiers in Transfer Learning -- a systematic and bibliometric review

Frederico Guth, Teofilo Emidio de-Campos

Humans can learn from very few samples, demonstrating an outstanding generalization ability that learning algorithms are still far from reaching. Currently, the most successful mod…

cs.CV2019★ 25 cited

EdgeNet: Semantic Scene Completion from a Single RGB-D Image

Aloisio Dourado, Teofilo Emidio de Campos, Hansung Kim +1

Semantic scene completion is the task of predicting a complete 3D representation of volumetric occupancy with corresponding semantic labels for a scene from a single point of view.…

cs.CV2019★ 3 cited

Hand range of motion evaluation for Rheumatoid Arthritis patients

Luciano Walenty Xavier Cejnog, Roberto Marcondes Cesar, Teofilo Emidio de Campos +1

We introduce a framework for dynamic evaluation of the fingers movements: flexion, extension, abduction and adduction. This framework estimates angle measurements from joints compu…

cs.CV2019★ 7 cited

Domain adaptation for holistic skin detection

Aloisio Dourado, Frederico Guth, Teofilo Emidio de Campos +1

Human skin detection in images is a widely studied topic of Computer Vision for which it is commonly accepted that analysis of pixel color or local patches may suffice. This is bec…

cs.CV2018★ 5 cited

Skin lesion segmentation using U-Net and good training strategies

Fred Guth, Teofilo E. deCampos

In this paper we approach the problem of skin lesion segmentation using a convolutional neural network based on the U-Net architecture. We present a set of training strategies that…

cs.CV2018★ 20 cited

Semantic Scene Completion Combining Colour and Depth: preliminary experiments

Andre Bernardes Soares Guedes, Teofilo Emidio de Campos, Adrian Hilton

Semantic scene completion is the task of producing a complete 3D voxel representation of volumetric occupancy with semantic labels for a scene from a single-view observation. We bu…

cs.SD2017★ 1 cited

Object-Based Audio Rendering

Philip Jackson, Filippo Fazi, Frank Melchior +15

Apparatus and methods are disclosed for performing object-based audio rendering on a plurality of audio objects which define a sound scene, each audio object comprising at least on…