2 citations · 2 across the 3 of their papers we have counts for
4 papers
Restore What Matters: Lessons from Joint Restoration and Recognition
Lanqing Guo, Xijun Wang, Minchul Kim +7
Recognition pipelines typically adopt a restore-then-recognize workflow, yet decades of experience show that generating visually pleasing images seldom translates to improved recog…
Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait
Feng Liu, Nicholas Chimitt, Lanqing Guo +16
We address the problem of whole-body person recognition in unconstrained environments. This problem arises in surveillance scenarios such as those in the IARPA Biometric Recognitio…
DaliID: Distortion-Adaptive Learned Invariance for Identification Models
Wes Robbins, Gabriel Bertocco, Terrance E. Boult
In unconstrained scenarios, face recognition and person re-identification are subject to distortions such as motion blur, atmospheric turbulence, or upsampling artifacts. To improv…
Towards Multimodal Vision-Language Models Generating Non-Generic Text
Wes Robbins, Zanyar Zohourianshahzadi, Jugal Kalita
Vision-language models can assess visual context in an image and generate descriptive text. While the generated text may be accurate and syntactically correct, it is often overly g…